Most customer satisfaction and loyalty conversations start with emotion. Customers say they “love” a brand or “feel connected.”

But behavior is the real test. For the customer, brand loyalty always comes down to this question: Do I keep choosing you, or do I switch?

That framing keeps teams focused on the moments that actually decide retention and revenue: renewals, repeat purchases, and the customer’s decision to stay when a competitor makes an offer that looks easier.

In a CSG study of 1,200 global consumers fielded by Wakefield Research, 55% of consumers defined loyalty as exclusive use. Another 22% defined it as using a brand more than competitors. That’s a useful gut check for any leader investing in customer satisfaction and loyalty programs. Customers aren’t grading brands on sentiment alone. For most of them, they’re deciding whether you stay their only choice.

How to Use These Customer Loyalty Insights

If you lead CX, service, digital, retention, or risk/fraud, you can use the customer loyalty insights below to do two things this year:

• Protect the “trust moments” that customers remember (pricing, security, issue resolution).
• Build early warning signals so you can see loyalty breaking before churn shows up in revenue reporting.

Each pressure point below creates a story customers tell themselves that is hard to reverse. “This brand is getting harder to trust.” “This brand feels risky.” “This brand costs me time.”

But they’re also opportunities to strengthen loyalty when handled well.

The 3 Customer Loyalty Pressure Points

According to our brand loyalty research, the three biggest factors that cause customers to consider leaving (when mishandled) are pricing trust, fraud, and service failures.

1. Pricing transparency and trust: customers churn when the rules feel unfair

The top loyalty-winning factor in our research was transparent and fair pricing (61%), followed closely by consistent product or service quality (58%).

Those two belong together because customers aren’t just evaluating the price. They’re judging whether the value exchange between them and the brand still feels consistent and understandable. In other words, customers can see what they’re paying for, why it changed, and what their options are.

That’s why pricing‑driven churn is rarely just “price goes up, customers leave.” Price changes are a stress test for brand trust. Even when a price increase is unavoidable, the way the brand explains it and supports customers through it is something CX and retention teams can control.

What it looks like across industries

• Subscriptions (streaming, software, memberships): A promotional period ends, the bill jumps, and the customer can’t quickly see why or find an option that fits how they use the service.
• Financial services: A new fee is introduced after a policy update, and the customer discovers it only after the statement closes.
• Retail and ecommerce: Discounts apply inconsistently, pricing differs between channels, or returns/restocking fees surprise customers after checkout.
• Healthcare and insurance: Coverage or cost-sharing changes come up late in the process, and the customer feels trapped because the decision is already in motion.

What to do differently

• Treat price changes as trust events. Design a dedicated journey that goes beyond an email template.
• Communicate early and explain without spin. Customers want to know what changed, not a marketing story.
• Watch for early signs that customers might leave after a price change. Track things like plan downgrades, missed payments, more support calls, and visits to the cancellation page.

A simple internal test: Could a customer explain the change to someone else in one sentence without sounding confused? If not, the billing experience could be doing brand damage.

2. Fraud: the fastest path to “never again”

More than half of consumers (57%) say experiencing fraud on their account is a top reason they would stop doing business with a brand—ranking even higher than price increases. When customers experience fraud on their account, it’s not just a security issue but loyalty‑threatening moment. Customers see fraud as a failure of protection and a preview of future hassle.

What it looks like across industries

• Banking and payments: Suspicious charges trigger an account freeze, but the customer can’t tell what happens next or how long funds will be inaccessible.
• Telecom: A SIM swap or account takeover leads to service disruption, followed by a verification loop that makes the customer feel punished for what they see as the brand’s failure to protect the account.
• Retail and ecommerce: An account is locked after unusual activity, but the reset process is confusing and requires multiple retries across channels.

What brands could do differently

• Automate and personalize fraud communications, not just alerts. A generic “suspicious activity detected” message isn’t enough. Customers need next steps, time estimates, and clear ownership.
• Design a single-thread experience across channels. When customers get alerted, they often switch among app, phone, web and email. Maintain continuity of case ID, status, and next actions so customers aren’t left repeating themselves or feeling lost.
• Measure the recovery experience, not just fraud prevention. Track time-to-freeze, time-to-resolution, repeat contacts, and abandonment during verification. Fraud-related churn is often driven by the pain customers feel after the incident.

3. Service failures: effort compounds until customers leave

Our research found poor customer service is a top dealbreaker for 45% of respondents, with unresolved issues close behind at 44%.

Together, this points to a compounding effect: when customers have to re‑contact you, re‑open cases, repeat details, or chase resolution, your brand stops feeling like the easy choice. When service becomes hard work, customers begin to question whether the product or service is worth the effort next time.

What it looks like across industries

• Healthcare and insurance: Customers are navigating high-stress situations and complex rules. Silence, unclear timelines, or inconsistent answers feel like abandonment.
• Retail and delivery: A late or damaged order becomes a multi-contact ordeal, especially when the handoffs between warehouse, carrier, and support is unclear.
• Financial services: A dispute, chargeback, or documentation request becomes a loop, and the customer can’t get a straight answer on what will close the issue.

What to do differently

• Shift investment from save offers to issue prevention. The best way to keep customers loyal is to solve problems early, so they never reach the point of wanting to leave.
• Build an “unresolved issue” early-warning system. Prioritize customers with repeat contacts, reopened cases, long handle times or transfers. This prioritization requires knowing your customers, as well as what actions they’ve taken or not.
• Focus on how well problems are actually solved. “Ticket closed” doesn’t always mean the issue is fixed. Track repeat contacts and time-to-resolution as key loyalty metrics.

What to Prioritize Next

If you’re building your 2026 loyalty plan, keep it practical:

• Audit your price‑change experience like it’s a high‑risk journey (because it is).
• Treat fraud resolution as part of CX, not an exception owned only by security.
• Find and fix the service mechanics that create unresolved issues and repeat contact cycles.

These are concrete places where customer satisfaction and loyalty are built or weakened, one customer decision at a time.

A driver gets a text saying they owe a toll. It looks plausible. It might even reference a real roadway they used. But they hesitate.

Most drivers have seen warnings about toll payment scams, so—too often—they pause or ignore the message instead of paying the toll.

Toll smishing has become widespread across the U.S., targeting drivers with urgent messages and fake payment links that impersonate legitimate toll operators. The industry has responded with public warnings and website alerts. But driver education can’t always help drivers decide whether a specific message is real when it pops up on their phone.

In conversations with toll operators, I hear a consistent frustration come up: even when operators communicate responsibly, drivers still aren’t sure what to trust when a text arrives. What happens, then, is legitimate messages go unopened, payments get delayed, and call centers see the fallout.

Toll operators need communication channels that make legitimacy obvious at a glance.

Tolling Is a Prime Target for Smishing

Unlike recurring utility bills or subscription services, toll payments are often episodic and low-context. Drivers don’t always remember when or where they incurred a toll, especially when they travel out of state or pass through unfamiliar roadways. That uncertainty creates a perfect opening for scammers: a message that says “You have an unpaid toll,” even when it’s unexpected, doesn’t feel obviously wrong.

Scammers use the same patterns effective toll operators rely on: urgent notices, payment prompts, and simple calls to action. Once drivers doubt toll texts, toll smishing scams make it more likely that legitimate reminders get ignored and costs rise. The communication channel starts to work against the operator.

What RCS Changes for Toll Operator Communications

How can toll operators restore trust in their communications? With a channel that’s designed to make identity clear and interaction safe: RCS business messaging.

RCS (Rich Communication Services) modernizes business messaging inside the mobile inbox, adding capabilities that standard SMS doesn’t support natively.

For toll operators, RCS introduces verified identity, branded presentation, and guided interaction. Drivers don’t need to download an app, which matters for occasional and out-of-state users.

Here are a couple examples of what a verified, branded toll payment notice can look like in a driver’s inbox with RCS:

Verified sender identity

With RCS’ verified sender profiles, toll operators send messages that display the official name, logo, and verification indicators directly in the inbox. These profiles are authenticated through mobile carriers and verified by trusted third-party providers before messages can be sent, ensuring the sender is legitimate. Instead of a generic number, drivers see immediately who the message is from. That visual confirmation removes guesswork in the moment, and it makes RCS especially difficult to spoof.

Guided interactions instead of risky links

Drivers can view balances, review trips, dispute charges, or initiate payment through clearly labeled actions inside the message. What this does is eliminate the behavior drivers are most wary of today—clicking an unfamiliar link—and replaces it with a clearer, more intuitive flow.

Visibility into engagement

RCS also gives organizations richer insight into how their messages perform. Because they can see data on delivery confirmation, read status, and interaction, toll operators get a clearer view of what drivers actually see and do. That added transparency not only helps operators refine messaging strategies over time, it also enables smarter, more fraud-resistant outreach across channels. For example, operators can use engagement insights to better coordinate trusted channels like print, track when messages are opened, and reinforce legitimate payment reminders through verified communications.

Where RCS Makes the Biggest Difference: Real Tolling Payment Scenarios

For toll operators, the real value of RCS payment messaging emerges in the moments where trust matters most: when a driver is being asked to take action.

Pay‑by‑plate first notices: Rather than a plain-text alert, an RCS payment message can display the operator’s verified name and logo, the toll amount due, and the roadway or date associated with the charge. From there, drivers can choose clearly labeled actions like View Trips, Dispute, or Pay Now. The experience feels official, reducing hesitation at the moment a decision is made.

Low‑balance alerts: With RCS, operators can present a branded balance notification paired with a single‑tap Add Funds option. Drivers aren’t forced to interpret a link or navigate away from the message to understand what’s being asked of them.

Payment confirmations and receipts: Instead of a short confirmation text, RCS can deliver a branded receipt with transaction details or supporting documentation. It reassures drivers that the payment went through and makes future messages easier to trust.

For toll operators navigating the fallout from smishing, this is an impactful shift. It makes payment messaging a clear, guided experience that supports faster resolution, fewer calls, and a better experience for both drivers and toll operators.

A Practical Approach: RCS First, SMS Where It Makes Sense

For most toll operators, the question isn’t whether SMS still matters—it does. The challenge is deciding where SMS is sufficient and where it creates unnecessary risk.

A practical model is an RCS‑first strategy for high‑risk, high‑impact workflows, with SMS used intentionally as a fallback when RCS isn’t supported on a driver’s device. This approach balances reach with trust, rather than forcing a one‑channel decision. It can also coordinate with other trusted channels like print statements, email, and toll operator websites.

Prioritize RCS for the moments that require immediate trust, like payment notices, low-balance alerts, disputes, and confirmations. These digital messages can also reinforce and align with other verified communications, such as printed notices or account portals, helping drivers recognize legitimate outreach across channels.

By leading with RCS where trust is most critical, and using SMS and other established channels deliberately elsewhere, operators reduce confusion and keep payments moving.

Restoring Confidence in Digital Toll Payments

Toll smishing isn’t a temporary disruption. It’s a sign that the way toll operators communicate with drivers has changed and that trust can no longer be assumed.

RCS helps toll operators make legitimate notices recognizable and safer to act on, right in the native inbox. If you’re rethinking how you collect payment by message, start by putting RCS on the highest-trust moments.

Insurance teams have spent years building the pieces of better customer experience (CX), investing in everything from journey maps to analytics to AI capabilities.

Improving customer experience is such a high priority in insurance, where CX failures are closely tied to retention. For example, J.D. Power found that 80% of auto insurance customers who have a poor claims experience have already left or say they plan to leave their carrier, underscoring how quickly pain points turn into churn.

And yet, despite all this prioritization, many insurance journey initiatives stall before they meaningfully change how work gets done. Some organizations produce thoughtful journey maps, only to watch them sit on a shared drive while day-to-day operations continue unchanged. Others deploy powerful platforms, from customer data tools to contact center systems, but they struggle to connect those capabilities into a consistent operating model for improving experiences.

Why Journeys Break Down in Insurance

CX isn’t misunderstood in insurance. The trouble starts when journey concepts hit the operating constraints: systems, teams, and ownership models that weren’t built to work together.

In practice, journey efforts tend to break down in the same core areas:

Fragmented customer identities

Insurance organizations still organize primarily around products and policies. Customer records are often separated by line of business, channel, or relationship, which makes it difficult to understand the full context of a household or client. When teams can only see part of the relationship, coordination suffers. Engagement becomes inconsistent, and decisions are made in isolation rather than in service of the broader customer experience.

Insight that arrives after the fact

Many CX programs still rely heavily on periodic surveys and manual analysis. That data’s valuable, but it often shows what already went wrong rather than what’s starting to break down. By the time patterns show up in reports, customers may already be calling repeatedly, escalating issues, or quietly disengaging. This lag makes it difficult to keep improving customer experience in insurance at the pace customers expect.

Omnichannel inconsistency

Customers move fluidly between digital self-service, agents, or advisors, and they expect the brand experience to remain consistent throughout. Internally, those channels are frequently owned by different teams, which results in inconsistent answers and duplicated effort. This breakdown is especially visible in claims. J.D. Power reports that nearly one in five insurance customers uses more than one channel to resolve the same claims question, and satisfaction drops sharply when that happens. What feels like a simple status check to the customer often turns into repeated effort behind the scenes.

Proactive communication that doesn’t scale

Most insurers recognize the value of setting expectations and keeping customers informed, especially during high-anxiety moments like claims, underwriting, or policy changes. What’s difficult is doing it consistently. Updates are often driven by individual teams or one-off initiatives rather than shared or centralized logic. When customers don’t know what’s happening or what comes next, you can count on their repeat contacts.

Customers are clear about what they want in those critical moments. Research shows that more than 80% of consumers want companies to identify issues and contact them proactively, and nearly 90% say proactive service improves how they view the brand.

AI enthusiasm constrained by trust and governance

Justifiably, there’s a lot of interest in how AI could be improving customer experience in insurance—particularly in use cases like reviewing customer conversations, spotting repeat issues, and getting work to the right teams more quickly. At the same time, insurers are rightly cautious. Accuracy and compliance requirements limit how far automation can go, especially in regulated scenarios. Without clear ownership and guardrails, AI experiments remain isolated rather than becoming part of day-to-day journey operations.

Taken together, these breakdowns point to the need for a more disciplined way to manage journeys end to end—often referred to as customer journey management (CJM).

What Customer Journey Management Means in Insurance Experiences

CJM is often misunderstood as another platform or methodology. It’s really more of an operating discipline. Gartner defines customer journey management as the comprehensive discipline of designing, deploying, and continuously improving the end-to-end, cross-channel experiences customers have with an organization. CJM focuses on continuously detecting where customers are in their journeys, coordinating the next action or communication across teams and channels, and then measuring whether those actions improved outcomes.

This is how customer experience in insurance moves from intent to day-to-day execution.

What makes CJM especially necessary in insurance is the number of parties involved in a single journey. A policyholder or client might interact with an agent or advisor, a digital channel, and multiple internal teams over time. CJM provides a way to coordinate work across teams and systems, so customers don’t experience all the handoffs happening behind the scenes.

How Customer Journey Management Differs From Mapping, CDPs, and Contact Center Platforms

Journey mapping remains an important starting point. An insurance customer journey map helps teams align on what customers are trying to accomplish, where friction occurs, and which moments matter most. What mapping doesn’t do is run the journey once it leaves the workshop.

Customer data platforms help unify profiles and support segmentation. Contact center platforms manage interactions and workforce workflows. Each capability plays a role, but each one stops short of coordinating the experience end to end.

CJM connects these pieces. It translates signals into diagnostics for revealing where to start, decisions for what to fix, coordinated actions for triggering the fixes, and then measurable outcomes for refining the journey.

Without that connective tissue, insurers are left with capable systems that operate in parallel but rarely in concert. And those breakdowns we just talked about? They keep happening.

What Customer Journey Management Looks Like in Practice

What impact can CJM have on customer engagement in insurance? Consider a couple common scenarios:
In P&C, a claim enters an investigation phase where customers typically hear very little, and the dreaded “black hole” in insurance communications causes call volumes to spike. With CJM in place, insurers can detect that stage, trigger a clear status update explaining what’s happening, what comes next, and when the next update will arrive, and then measure whether status calls decline.

In Life and Annuity, underwriting requirements often stall applications. By detecting when requirements have been outstanding for a certain period—and pairing that signal with repeated portal visits or calls—insurers can send a clear checklist outlining what’s missing, who owns each item, and what happens if deadlines are missed. The result is faster placement and fewer “what’s missing?” calls.

CJM also helps insurers spot emerging issues without waiting for surveys. Transcript analysis may reveal a spike in billing confusion after a notice change or recurring questions about policy servicing. Those insights can trigger targeted fixes (e.g., updating language, adjusting IVR prompts, or clarifying agent guidance) before dissatisfaction escalates.

Finally, CJM helps insurers provide the right offer to the right customer at the right time, not just manage individual policies. Repeated friction on one policy can signal broader risk across a household. A service issue on a legacy life policy might align with a lapse risk, a coverage gap, or reduced advisor engagement. With a unified view of the customer relationship, teams can move from reactive service to proactive loyalty-building. They can coordinate outreach, tailor retention incentives, recommend coverage adjustments, or introduce new products that fit the customer’s current life stage.

The bottom line: Instead of simply fixing issues, insurers deliver relevant offers that strengthen the relationship and build long-term value.

Why Communications Are Often the Best Place to Start

For many insurers, communications are where CJM shows value first. Messages sit at the intersection of what’s actually happening in the business, how customers feel, and how often they reach out for help. When insurance communications clearly explain what happened, what happens next, and when the customer will hear back, uncertainty drops (and with it, repeat calls).

Making this work consistently requires clear ownership. Content, trigger logic, and compliance review all need defined accountability. When they do, insurance communications become easier to test, refine, and improve over time.

A Pragmatic (yet Powerful) Path Forward

Insurers don’t need a multiyear transformation to make progress. Many start by focusing on a single journey where uncertainty drives repeat contact (such as claim status, underwriting requirements, or policy changes) and using the data and tools they already have to make a small number of practical improvements. When teams are clear about where customers get stuck and what a successful journey looks like, it becomes possible to measure impact and show progress quickly.

That same approach scales over time. As insurers mature their journey work, they can connect customer identity across products, make cross-LOB prioritization decisions, and apply AI selectively to help work move faster without giving up control. Each step reinforces the same objective: measurable improvements in customer experience in insurance, paired with less operational strain on frontline teams.

This is the kind of work CSG Xponent is built to support. Xponent is a customer engagement platform designed to help insurers run journeys as an ongoing discipline by combining journey insights, identity resolution, real-time signals, coordinated actions, and measurement in one place. Rather than replacing existing systems, it helps connect them—so teams can detect issues earlier, communicate more clearly, and act consistently across channels and LOBs.

Taken together, these practices make it possible to move journey work out of planning mode and into day-to-day execution—starting small, proving value, and building toward more consistent experiences over time.

A 2036 Look Back at Entitlements in 2026

Key Takeaways

• 2026 is marking a tipping point as entitlements are becoming a real-time control plane for growth and security
• eSIM-only devices and new connected services are forcing operators to manage access and activation in real time
• Modern entitlements are directly driving revenue, enabling instant activation and premium service monetization
• Rising SIM-swap and social-engineering fraud is exposing the need for real-time device and access control
• Cloud-native Entitlements-as-a-Service is giving operators speed, scale, and operational leverage as execution becomes the constraint

While it is not obvious today, in 2036 we will look back and recognize 2026 as one of the industry’s inflection periods—not because of a single device launch or network upgrade, but because of a fundamental shift that is taking place in how operators think about control, access, and value.

2026 is emerging as the year AI, eSIM, and entitlements are reshaping how services are activated, secured, and monetized—and, ultimately, how digital experiences are delivered.

More specifically, this is the period when mobile operators are moving away from treating entitlements as a back-office function and are recognizing them for what they are becoming: the control plane for growth, experience, and protection in a fully digital world.

The Signals Were Already Clear

The signals did not arrive all at once. They accumulated.

In 2022, Apple removed the SIM tray from its U.S. iPhone lineup. In 2025, it expanded eSIM-only regions again. Soon after, it introduced a globally eSIM-only device, the iPhone Air. As 2026 began, expectations are growing that other major OEMs are preparing to follow the same path.

At the same time, the definition of a connected device is expanding rapidly. Smartwatches are shipping with native cellular. Tablets and laptops require seamless activation. Satellite connectivity, once a speculative concept, is moving into production, with emergency services already live and broader offerings approaching commercial scale.

Together, these shifts are pushing the industry away from network-centric thinking toward a device-centric reality. Access, identity, and entitlement decisions are moving closer to the user and the device, where they must be made instantly.

At the center of that transition sits a capability many operators have long underestimated: device entitlements.

From Authentication to Advantage

For years, entitlement servers have been treated as plumbing—necessary, but not strategic. Outside of major OEM partner ecosystems, many operators have underestimated the role entitlements play in shaping customer experience, monetization, and security.

That perception is changing.

As eSIM adoption is accelerating at triple-digit rates in several markets, entitlements are becoming unavoidable. More importantly, the gap between modern and legacy entitlement platforms is becoming visible—and increasingly costly.

Operators with agile entitlement platforms are launching new device capabilities faster, offering instant trials, enabling frictionless upgrades, and converting prospects with a single tap. Entitlements are becoming an engine for growth.

Others remain constrained by legacy systems. They are still relying on emailed QR codes. They are still requiring store visits. They are still waiting for vendors to deliver new use cases on multi-quarter timelines.

The lesson is already forming: modern entitlements are translating directly into market share. Every new device capability—eSIM, wearables, satellite access—is becoming a revenue opportunity waiting to be unlocked or lost.

The Monetization Moment no one should ignore

At the same time, operators are facing an uncomfortable reality: traditional connectivity revenues are stalling, just as new digital demands are multiplying. Mobile payments, digital identity, connected vehicles, premium device features, and on-demand upgrades all depend on one foundational requirement: precise, real-time control over who can access what, and when.

Satellite connectivity is the perfect example. As partnerships between mobile operators and satellite providers has expanded — covering a growing number of global connections — and entitlements are becoming the deciding factor between cost and profit.

With the right entitlement platform, satellite access can be offered dynamically: pay‑per‑use, premium tiers, emergency access, enterprise bundles, etc. Seamless for the user. Monetized for the operator.

The importance of security and moving fast

Growth without protection was no longer viable. In 2026, it is becoming a material business risk.

As operators expand into fintech and digital services, fraud is following. Social Engineering and SIM swap incidents are increasing sharply. In several markets, industry analyses are linking the majority of mobile banking fraud to compromised SIMs, costing billions annually.

In 2026, Entitlement platforms are becoming the first line of defence. By verifying devices, permissions, and access rights in real time, modern entitlement platforms are adding a powerful security layer—one that customers rarely notice but rely on constantly. The same control plane that enabled monetization also is becoming the foundation of trust.

Growth and protection are no longer separate conversations. They are converging.

What the bar will look like for entitlements

Looking back, success will not be attributed to intent alone. It will be attributed to operators that are demanding more from entitlements.

Not all platforms are proving equal. The ones succeeding are sharing common characteristics:

Moving at the Pace of Innovation

Operators are abandoning year-long upgrade cycles in favor of cloud-native Entitlements-as-a-Service platforms, where new device features are launching in weeks, not years.

Supporting Every Device, Everywhere

Phones, wearables, vehicles, and IoT devices are operating under a unified framework. Monetizing entitlements for MVNOs and non-OEM-exclusive partners is becoming standard.

Staying Evergreen by Design

Operators are no longer accepting delays or additional costs for new use cases. Evergreen platforms are updating continuously, quietly, and without downtime.

Monetizing and Protecting by Default

Entitlements are integrating tightly with policy control, charging, and fraud prevention. Growth and security are becoming two sides of the same operational decision.

From Requirements to Reality: Why Execution Matters

What is separating leaders from laggards is not ambition, but execution. The platforms succeeding are combining cloud-native design, real-time control, and continuous evolution.

This is where CSG’s Entitlements-as-a-Service, powered by NetLync, is emerging as a reference model for modern entitlements.

Cloud-native, evergreen, and proven at scale, CSG EaaS is enabling operators to move faster, unlock new revenue, and stay ahead of device, OEM, and ecosystem change.

CSG EaaS is delivering:

• Rapid time-to-value, with deployments measured in weeks
• Certification certainty across leading global OEMs
• Universal entitlements that extend advanced use cases beyond OEM-exclusive partners
• Continuous access to new capabilities via an always-on platform
• B2B2C monetization models that are turning entitlements into revenue engines

The Multiplier Effect: Why CSG + NetLync

Two realities are defining modern entitlements. First, they are no longer a back-office capability—they are becoming the control plane for growing and protecting digital revenue. Second, monetizing complexity at scale requires experience.

Together with NetLync, CSG is going beyond enablement. CSG is helping operators turn entitlements into sustainable businesses.

Backed by decades of real-world experience and an award-winning SaaS portfolio spanning revenue management, digital monetization, order orchestration, customer journey management, and payments, CSG is helping service providers move faster, monetize smarter, and deliver seamless omnichannel experiences.

Why This Matters Now

Most entitlement platforms stop at enablement. CSG is going further.

• Speed to market: Fast-tracked BSS integration is reducing time to revenue
• Revenue by design: Monetization models are being informed by real-world deployments
• Self-funding growth: B2B2C entitlement business cases are generating net-new revenue
• Non-negotiable trust: Compliance, security, and resilience are built in by design

Because monetization without trust does not scale.

The View from the Rear-View Mirror

Every industry has its inflection periods. For operators, 2026 is becoming one of them.

Entitlements are no longer invisible infrastructure. They are becoming a strategic lever for growth, experience, and protection. The winners are recognizing it early and acting decisively. Others are already beginning to fall behind.

The next decade will be defined by the choices operators are making now—long before someone else looks back.

Key Takeaways

• Enterprise B2B deals are increasingly won or lost on speed. Slow quoting and activation cost deals before technical capability is even evaluated.
• Speed is an outcome of clarity, not pressure. Operators that move fast do so because their operations are aligned, not because teams work harder.
• Most delays are self-inflicted. Manual checks, disconnected systems and rework slow execution more than customers ever do.
• Sustainable speed requires structure. When quote, contract, order, and bill operate as a single flow, execution accelerates without increasing risk.
• CSG helps operators compress enterprise deal timelines by removing friction across the quote-to-cash lifecycle rather than pushing teams to move faster.

In telco enterprise deals, network speed used to be a differentiator. Today, it determines who wins before the deal even takes shape. Not network speed. Not processing speed.

Decision speed. Execution speed. Time from intent to revenue.

Enterprise customers move quickly. They expect fast answers, clear pricing and confidence that what is sold can be delivered without friction. When operators take weeks to quote or months to activate, customers do not wait. They move on. This is not a pricing problem. It is not a demand problem. It is a speed problem. And speed has become the most valuable currency in B2B.

Speed Is Not About Working Faster. It’s About Removing Delay.

Many operators believe they have a speed problem because teams are overloaded or under-resourced. In reality, the biggest delays come from uncertainty.

• Quotes stall because no one is confident they will provision cleanly.
• Orders pause while teams reconcile differences between systems.
• Activation slows because downstream issues surface too late.
• Margins are eroded with clear commercial visibility.
• Every delay signals a lack of confidence in how the business runs.

Why Enterprise Buyers No Longer Wait

Enterprise buyers have changed.

They expect:

• Fast configuration and clear pricing
• Predictable timelines from contract to activation
• Confidence that delivery will match what was sold

What they no longer tolerate is internal friction. When response times stretch or activation drags on, buyers assume the delivery experience will be just as painful. In many cases, they are right.

Speed has become a signal of reliability. The operator that responds first, activates first and bills accurately is seen as easier to work with, even when competitors offer similar services. That perception now wins deals.

Where Speed Actually Breaks Down

Enterprise deals don’t slow down because of one major bottleneck. They stall because of dozens of small bottlenecks.

Common examples:

• Quotes built without full downstream visibility
• Contracts reviewed manually for operational impact
• Orders reworked to fit provisioning constraints
• Billing structures corrected after activation

The same handoffs that create uncertainty also create delays. Speed breaks down for the same reason clarity does. By the time services go live, the customer has already experienced friction and the operator has absorbed unnecessary costs. This is why telling teams to “move faster” rarely works. Speed cannot be forced. It has to be designed.

Speed Comes from Alignment, Not Acceleration

The operators who move fastest are not cutting corners. They are removing uncertainty.

They have:

• One vision of products and pricing
• Commercial terms that translate directly into delivery and protect their margins
• Orders that flow without reinterpretation
• Billing aligned from the start

When the business trusts its own structure, it does not slow itself down. Decisions happen earlier. Execution becomes routine rather than risky. Speed becomes the default rather than the exception.

How Early Visibility Sustains Speed

Speed without control creates failure. That is why many operators hesitate to move faster.

The goal is not blind acceleration. It is early visibility.

When issues are visible before execution:

• Configuration problems are addressed before approval
• Contract gaps are resolved before orders flow
• Orders likely to stall are flagged early
• Billing issues are prevented instead of being corrected later

This allows operators to move quickly without increasing risk. Speed becomes repeatable, not a one-time push that puts the business at risk.

The CSG Point of View: Speed Is the New B2B Currency

Operators struggle with speed when the quote, contract, order and billing processes are disconnected. They accelerate when those steps operate as one flow. That is why CSG focuses on unifying the entire enterprise quote-to-cash lifecycle. Not by skipping steps, but by removing friction between them.

CSG helps operators:

• Build quotes that are deliverable by design
• Turn contracts into executable workflows
• Activate services without downstream rework
• Align billing from the first transaction

The result is faster response, faster activation and faster revenue without adding risk or staff.

What Changes When Speed Becomes Predictable

When telco operations are designed for speed:

• Deal cycles shorten
• Activation timelines shrink
• Margins are protected and revenue is recognized earlier
• Customers experience fewer issues

Internal teams also benefit. Less time is spent fixing problems. More time is spent supporting growth.

Speed stops being exhausting. It becomes normal.

Speed Is Now the Price of Entry

In today’s enterprise market, speed is no longer a differentiator. Operators that cannot quote quickly, activate predictably and bill accurately will lose deals before conversations even get serious.

The ones that win are not rushing. They are ready. They have built clarity into their operations, removed friction from execution and created systems that support rapid decision-making. When every function is aligned around a single view of the customer, speed becomes built-in, not bolted on, and the business is positioned to capture growth the moment it appears.

Speed Follows Clarity

You cannot move quickly if you are unsure what will happen next. You cannot scale speed if every deal is an exception. Clarity removes that hesitation. Structure removes delays. When that foundation is in place, speed becomes the most valuable currency in B2B deals.

FAQs

Why has speed become so critical in enterprise B2B?

Because buyers expect fast answers and predictable delivery. Slow response times signal risk and internal complexity.

Why do most operators struggle to move faster?

Because disconnected systems create uncertainty. Teams slow down to avoid mistakes.

How do operators increase speed without increasing risk?

By unifying quote-to-cash processes so issues are visible early and execution and margins are predictable.

The hardest part of meeting customer expectations used to be about launching new channels or features. Now it’s about understanding the intent behind every interaction. Questions like Why did this person reach out? and What outcome are they chasing? now shape whether an experience builds brand trust or weakens it.

That’s why CSG fielded a global study with Wakefield Research to get a clearer picture of what customers expect in 2026 and how those expectations should influence CX strategy. In the webinar, “From Chaos to Clarity: How to Win Loyalty in 2026,” three experts dug into the survey data and its takeaways for brands:

• • Erin Veltkamp, Director of Product Marketing, CSG

• • Keith Wilson, Executive Director of Product Management for Customer Experience, CSG

• • Raymond Gerber, Co-Founder of the Institute for Journey Management

Watch the full webinar here to catch the conversation, or keep reading for the major takeaways.

Overwhelmed Customers Tune Out (And Miss Out)

Erin Veltkamp shared the (unsurprising?) finding that 70% of consumers feel that brands send so many messages, they “no longer care what brands are trying to say.” In response, customers are tuning out—and dismissing important notifications such as appointment and payment reminders and service updates. More than half (59%) of consumers have deleted critical messages because they mistook them for marketing.

That noise doesn’t lower customer expectations. If anything, it raises them. Customers expect brands to cut through the chaos with clarity: tell me what’s important, tell me what changed, and tell me what to do next.

As Erin put it, the State of the Customer Experience Report’s findings point to a simple truth: customers want clarity, not more contact.

“Customers are navigating more information, more channels, more choices than ever,” Erin said, “and loyalty feels really hard to earn.”

When Messages Miss the Moment

If customers are overwhelmed, why aren’t brands just sending fewer messages? According to the Institute for Journey Management’s Raymond Gerber, it’s not from bad intentions:

“Brands actually don’t do it deliberately, but it’s the structure, the technology, and the way you have organizational silos that creates what I call a flood of uncoordinated messages.”

The typical pattern:

• Marketing pushes a campaign.
• Product sends an update.
• Service teams respond to tickets.
• Automation fires independently in the background.

None of those systems really know what the others are doing, or what the customer is trying to do in that moment.

Keith Wilson described it as brands having “overachieved on omnichannel.”

“You’ve introduced all of these incredibly different ways to engage with your brand, and 10% of your customer base likes each one of them the best,” he added.

The result is a sea of messages that:

• Don’t line up with the customer’s immediate goal
• Arrive too late (or too early)
• Conflict across channels or teams

In other words, the experiences technically “work” but still violate consumer expectations for relevance and timing.

Keith offered a personal example to illustrate the point: He’d once received a text from a hotel that said his room was ready for check‑in—four hours after he had already checked in. That message included special offers and highlighted places to eat on the property.

“But the fact they started it with ‘your room is now ready for check-in,’ it was so clear to me that the rest of the message just didn’t matter anymore, and I was on the way to delete it,” he said.

The message itself wasn’t bad. It was just late. And in 2026, timing is part of the message.

What Customers Actually Expect: 3 Simple Demands

Across personalization, service and AI, the panelists raised three practical customer expectations that should anchor any digital customer experience strategy:

1. “Know what I need right now.”

Customers want brands to understand what they’re trying to do in the moment.

“Loyalty is based on trust,” Raymond said. “Trust is built when a customer feels the brand understands them, and engagement is consistent and relevant all the time.”

In practice, that means:

• If a customer is troubleshooting, they’re unlikely to appreciate a discount code (even if it’s perfectly personalized).
• If they’re exploring options, they don’t want a renewal reminder yet.
• If they’re completing a sensitive task, they don’t want generic marketing layered on top.

These are simple customer expectations examples, but they illustrate the same theme: context first, content second.

2. “Reach out at the right time, on the right channel.”

People still want reminders, alerts and updates, but only when they’re useful and on time.

From the State of the Customer Experience Report:

• 74% of consumers say helpfulness is a top factor in making them comfortable with personalized messages.
• 57% say they would leave a brand after a fraud incident, making real‑time authentication and alerts non‑negotiable.

“You can have the absolute perfect message, with a highly personalized way of making a very particular offer to a very particular customer,” Keith said. “But… if it’s a few minutes late, you’ve lost the window.”

This is where meeting customer expectations becomes a design problem: orchestrating journeys and communications around the customer’s clock instead of the campaign calendar.

3. “Make my life easier.”

Finally, customers expect brands to remove effort rather than add it.

• 44% cited difficulty resolving issues (e.g., confusing self‑service, no follow‑up) as a top reason for leaving a brand.
• Many get stuck in what Keith called “frenetic channel switching”—bouncing between web, app and email just to find a vaccine appointment time or technician arrival window.

What they want instead is clear, proactive help:

“That is basically consumers saying, please bring the most relevant and timely details to me. I don’t want to go find them,” Keith said.

This is where well‑designed journeys, intelligent routing and simple, guided experiences across channels become a competitive advantage.

Rethinking Digital CX Strategy Around Expectations, Not Channels

One of the most important shifts the panel called for: stop treating “channel coverage” as a proxy for customer expectations.

Raymond argued that traditional, touchpoint‑based CX has trained brands to obsess over “moments of truth” in isolation instead of the journey as customers live it over time.

He recommended a different lens:

• Move from moments of truth to moments of value. Every interaction should add enough value that the customer wants to have another one.
• Use journey analytics to see where friction really happens (repeats, loops, drop‑offs, and forced channel switches) and not just whether the final outcome was achieved.
• Treat friction as a signal instead of a failure metric. Some friction (like a proactive call from an agent in a high‑risk situation) can actually protect loyalty when it’s driven by the right context.

“You have to find out what’s broken before customers complain,” Raymond said. “Proactive brands earn loyalty faster.”

Where AI Still Needs to Earn Customer Trust

Customers want AI to help, but they don’t fully trust it to act on their behalf, according to the State of the Customer Experience Report. More than half of consumers (56%) say they’re uncomfortable letting AI take actions for them, and Gen Z is the only generation where the majority say AI agents are more effective than human agents at customer support.

The panel drew a practical line between good AI jobs and risky AI jobs:

• Where AI fits today: resolving simple questions, explaining account details, managing appointments and reminders—places where it quietly removes effort and gets people unstuck.
• Where trust is tougher to earn: handling payments, changing account settings or acting “behind the scenes” without clear controls.

Raymond said that loyalty depends on context‑aware AI.

“When AI is deployed without context—customer context, journey context, interaction context—it operates blindly,” he added. In that environment, AI can generate highly personalized messages that are still irrelevant.

He suggested posing three questions to every AI‑assisted step:

1. Where is this customer in their journey right now?
2. What are they trying to get done?
3. What outcome do they expect next?

Keith added that half‑finished automation can feel worse than none at all. Customers quickly lose trust when an AI agent only gets them “40 or 50 or 60% of the job” before handing them off or forcing them to repeat steps.

Steps for Meeting Customer Expectations in the ‘Age of Overwhelm’

The panel closed with advice for leaders who likely feel as overwhelmed as their customers:

Audit what you send vs. what customers do

Keith’s “one thing” was to line up your outbound communications against actual customer behavior and ask, does all of this make sense? Many brands discover they could cut a large portion of messages and get better results.

Pick one journey and go deep

Raymond recommended becoming “obsessed one journey at a time”—using journey analytics to understand where friction clusters and where expectations are most at risk, instead of trying to fix everything everywhere at once.

Design around timing as much as content

From fraud alerts to service updates to renewals, the panel consistently returned to timing as a core part of meeting customer expectations: right message, right moment, right channel, or not at all.

Erin summarized the opportunity:

“The personalization, implementing AI, understanding customer intent—all of that is really important. But if [customers] are getting hit with a bunch of messages at once… the clarity is never going to come on action [the customer should take]. So I think the coordination of channels is a great place to start to help break down some of this overwhelm that we’re seeing.”

If you’re like a lot of leaders in charge of customer experience (CX), you’ve already mapped your customer journeys. You’ve tried automation in a few areas. Now you need a clearer sense of which platforms actually use AI in a way that would take your CX operations to the next level.

But when every vendor says their customer journey management (CJM) solution is “AI‑powered,” you’re often left trying to decode what that means in practice.

A new report from QKS Group (formerly Quadrant Knowledge Solutions) gives you that clarity. QKS’ AI Maturity Matrix breaks down how vendors’ platforms sense signals, make decisions, act in real time, and learn from outcomes. In other words, this AI maturity framework gives CX, digital and operations leaders a way to separate substance from marketing language and assess which platforms can truly support closed‑loop customer experience enhancements at scale.

What the AI Maturity Matrix Reveals About the CJM Landscape

QKS frames the current challenge clearly: customer journey management has shifted from static journey mapping toward AI‑driven, closed‑loop systems capable of sensing customer behavior, deciding next steps, acting across channels, and learning from outcomes.

In their words, advanced platforms run “governed loops where signals drive decisions, decisions trigger actions, actions generate new signals, and AI uses those signals to refine both the models and the underlying journey design.”

But not every platform that markets “AI‑powered journeys” actually operates this way. QKS calls out widespread “AI noise,” or vendor that rebrand static, rules-based flows as intelligence. The matrix helps buyers spot the difference between automated campaigns and real AI and CX capabilities that adapt independently in real time.

Inside the QKS AI Maturity Matrix

QKS evaluates platforms on two core dimensions:

• • AI‑First Productization: This looks at whether the vendor has natively embedded AI/ML capabilities and examines features like built-in AI services, the ease of integrating AI models, and whether the platform’s design philosophy is “AI-first.” Vendors that excel here have made AI an integral part of process modelling, execution, and monitoring from the ground up.

• • AI Vision & Roadmap: This refers to the vendor’s strategic direction and commitment to AI innovation. QKS assesses the clarity and ambition of each vendor’s AI roadmap, which includes plans to incorporate new forms of AI like generative models, the inclusion of AI governance tools, and partnerships in the AI ecosystem. Vision also encompasses how well the vendor communicates the role of AI in achieving business value. A strong vision is forward-looking (planning 3-5 years ahead), well-funded, and aligned with market trends that leverage the latest advances in LLMs or reinforcement learning for process optimization.

The combination of these criteria forms an AI maturity matrix that shows how future‑proof each platform is relative to the rest of the market. QKS positions vendors across four stages: AI Explorers, Building Momentum, Scaling for Impact, and Industry Pioneers.

What Is Closed‑Loop Customer Journey Management?

While many customer engagement platforms automate touchpoints, very few deliver closed‑loop customer journey management: the ability to continuously sense, decide, act, and learn.

“Closed‑loop” in this case means the system uses the results of every action to reshape the next one. The system continuously optimizes journeys such as onboarding, billing, collections, support resolution, and outage communications. This is the core capability QKS evaluates in its AI Maturity Matrix for Closed‑Loop Journey Management.

QKS highlights four capabilities that distinguish mature, closed‑loop customer experience platforms:

1. Signal Integration: Ability to ingest behavioral, transactional, service, and feedback data into a unified journey state.
2. Real‑Time Decisioning: Sub‑second next‑best‑action/next‑best‑experience driven by propensity, uplift, and policy‑aware models.
3. Orchestration Across Channels: Execution that spans digital and assisted channels, with context preserved end‑to‑end.
4. Continuous Optimization: Embedded experimentation, feedback loops, and model lifecycle management.

Taken together, these form the operational definition of closed‑loop customer journey management. They also provide a clear evaluation lens for buyers comparing platforms.

The Rise of Agentic AI in Customer Experience

QKS also notes that journey management is entering a new phase: platforms have begun to exhibit agent‑like behaviors, moving beyond predictive models and static flows. In their words, advanced systems will “monitor a journey over time, anticipate likely next situations, and coordinate multiple actions across channels and systems to achieve an outcome.”

They also mention how CX leaders are wary of “agent‑washing” (the newest version of AI market noise) where vendors rename rule‑based workflows as “agents.” QKS calls out that these mislabels create opacity and blur the line between genuine agentic capabilities and superficially rebranded automation.

How to Evaluate Agentic AI

If a vendor claims “agentic AI,” ask:

What decisions can the agent make autonomously, and what is governed?

QKS emphasizes the need for clear boundaries, and not just open‑ended automation.

How are guardrails enforced in real time?

Look for policies related to:

• • • fairness and bias
    • contact caps
    • compliance rules
    • channel eligibility

Can you see a decision trace?

If the vendor can’t show why an agent took a specific action, that could be considered an unacceptable opacity.

Does the agent handle multi‑step tasks or just rename rules as “agents?”

This is how you can directly address QKS’s warning about agent‑washing.

How the AI Maturity Matrix Helps You Evaluate CJM Platforms

If you’re comparing customer journey management solutions, the QKS AI Maturity Matrix gives you a practical set of evaluation criteria. Based on QKS’s findings, mature platforms should demonstrate:

• • Ability to deliver closed‑loop customer experience, not just messaging

• • Real‑time, policy‑aware decisioning

• • Embedded experimentation and uplift modeling

• • Integrated omnichannel execution

• • A clear, actionable AI maturity framework and roadmap

• • Governed agentic AI approaches (not AI‑washed rules engines)

• • Transparent measurement tied to business outcomes (churn, containment, revenue lift)

Most organizations evaluating CJM today are trying to solve the same challenges QKS outlines: fragmented data, inconsistent journeys, slow time‑to‑action, and difficulty attributing ROI to AI initiatives. Advanced closed‑loop platforms tackle these challenges head-on.

CSG Positioned as ‘MVP’: Most Valuable Pioneer

Within the matrix, QKS names CSG not only as an Industry Pioneer (the highest maturity tier) but also as the matrix’s MVP, or Most Valuable Pioneer.

The report cites four differentiators in CSG’s customer engagement platform, CSG Xponent:

1. Sub‑Second Decisioning: QKS highlights CSG’s “sub‑second decisioning” and journey‑aware analytics as core strengths. Sub‑second decisioning means the system can read a signal, score it, and choose the next step almost instantly—quickly enough to influence an in‑progress web session, IVR path, or support interaction before the moment passes. These capabilities enable real‑time action while journeys are unfolding.
2. Native, Omnichannel Communications: Rather than relying on external channels, Xponent’s orchestration and communications live in one environment (SMS/MMS, email, push, voice, print) which allows faster recovery, consistent personalization, and closed‑loop measurement.
3. Overlay Approach for Lower Risk: QKS calls out that Xponent can “sit as an overlay across existing billing, CRM and contact center systems, while closing the loop from insight to action.” This reduces implementation risk for enterprises with complex environments.
4. Governed Agentic AI (CSG’s ‘Agent Node’): QKS notes CSG’s emerging agent node design: an LLM‑centric AI agent assigned to a narrowly defined role within a journey. It’s a practical approach to agentic AI in customer experience that’s:

• • Scoped

• • Governed

• • Configurable to brand tone and policies

• • Aligned with enterprise risk controls

This aligns directly with the matrix’s emphasis on explainability, governance, and real‑time adaptability.

To show how these capabilities work together in practice, the graphic below outlines CSG’s Sense‑Decide‑Act‑Learn cycle, which is the closed‑loop pattern QKS highlights in its evaluation.

Your Next Step: The Full QKS Report

QKS’ 2026 AI Maturity Matrix for Closed‑Loop Journey Management provides much-needed clarity in a confusing category, especially for leaders evaluating how to bring AI and customer experience together in a valuable, governed, and scalable way.

For teams looking to leave static journey maps behind, the matrix serves as a practical guide to evaluating vendors and focusing on capabilities that make a measurable difference.

Key Takeaways

• A CPQ tool alone can’t solve the toughest B2B challenges in telecom. The real issues live at the handoff between quoting and order management.
• When CPQ and order management run on a single, telco‑specific platform, complex deals move from quote to cash faster and with fewer errors.
• A unified approach gives every team (and the customer) a consistent view of what was promised, what’s being delivered, and what will be billed.
• For leaders, if you can manage the complexity of telco B2B configurations in quoting and ordering, then you can drive growth through winning more or by adding additional services to the B2B solutions that you now manage easily.

Why Telecom Order Management and CPQ Systems Need to Work as One to Win B2B

In B2B and wholesale telecom, the hard work doesn’t end when the quote goes out.

That’s often where the second half of the challenge begins: turning a carefully crafted, multi-site, multi-partner offer into something your organization can actually deliver, bill for, and support. But despite how commonplace these complex orders are, many telcos still struggle to manage them after the quote (particularly without burning margin or damaging the relationship along the way).

What’s behind this breakdown?

For many providers, it’s the gap between their Configure, Price, Quote (CPQ) and telecom order management systems.

Most CPQ tools can generate a quote. But unless they’re capable of telco-grade service configuration—considering serviceability, network topology, and how products relate to each other—they’re not really quoting accurately and can’t carry the configuration of that deal cleanly into an order, then orchestrate it across OSS/BSS stacks, partners, and regions. The point where a sophisticated quote meets legacy systems and manual workarounds is often the same point where deals stall, revenue slips, and customers lose confidence.

This is why a CPQ platform that includes order management is becoming a critical capability for telcos that see B2B as central to their growth strategy. It’s no longer enough to optimize quoting in isolation. The real gains come when you treat quote and order as one connected motion, powered by a telco-specific CPQ and integrated order management system built for B2B complexity. That’s how you shorten time from quote to activation, cut fallout between systems, and protect margins on every deal.

Why CPQ Alone Isn’t Enough for Telcos Anymore

The traditional CPQ system was built to solve a specific challenge: how to quickly configure, price, and quote an offer.

In many industries, that’s a contained problem. The fundamental CPQ model works best when products are relatively simple, fulfillment is standardized, and the handoff downstream is straightforward.

But telecom is different:

• You’re configuring services, not just SKUs. They often come with technical constraints, dependencies, and availability rules.
• You’re dealing with multi-site, multi-access, multi-partner scenarios where every party may have its own systems, SLAs, and commercial terms.
• You’re managing ongoing relationships, not one‑off transactions. Changes, upgrades, and renewals keep happening over months and years.

In that context, a CPQ tool that stops at the quote will always be limited. Just as deals keep evolving after the quote is sent, the system must be dynamic enough to manage complex orders through every stage. Relying on a CPQ alone can reduce some manual work for sales, but it won’t address the root causes of serious pain points: order fallout and rework, inconsistent pricing and billing, long time‑to‑revenue for complex deals, and poor visibility into margin at every stage.

To fix those, order management can’t be an afterthought. It has to be designed into your CPQ strategy from day one, as part of a telecom‑grade, integrated order management system that understands B2B reality. For telcos that separate the two, issues begin to compound once the handoff happens.

Where Deals Really Break Down: Common Challenges in the Telecom Order Management Process

If you lead B2B, wholesale or enterprise, you’ve likely seen some version of these problems in your order management process:

• Slow, fragile handoffs from quote to delivery: Often quotes are done manually, and services are first configured in order management data entry. Details are then copied into spreadsheets and passed around by email so operations can “translate” them into the right orders. Every touch creates a new opportunity for delay or error.
• In‑flight changes that never fully make it through the stack: The customer adds sites, changes access types, or negotiates different SLAs midway through fulfillment. Some systems get updated, some don’t. By the time billing catches up, no one is fully sure what was sold and what was actually delivered.
• Order fallout and rework across fragmented systems: A single enterprise quote may trigger dozens of downstream orders — across network, inventory, partner portals, billing, field services, and more. If your B2B order management layer isn’t designed to handle it, you see fallout, manual rekeying, and constant firefighting.
• Limited visibility for both customers and internal teams: Sales promises a go‑live date, operations is juggling partial data, and the customer asks, “Where is my order?” Without end‑to‑end status and clear ownership across the lifecycle, every update becomes a small investigation.
• Margin leakage that shows up months after the win: Discounts agreed upon in the quote don’t align with what’s in the billing system. One‑time credits never expire. Partner charges are misaligned with customer invoices. The deal might have looked good in the manually prepared business case, but when that business case later turns out to be wrong, it leaks value throughout delivery.

None of these are purely “CPQ problems” or purely “order management problems.” The core problem—and the solution—sit squarely at the intersection. And that’s exactly why the intersection is where strategic telcos are now focusing their attention.

What Changes When CPQ and Order Management Work as One

When CPQ and order management are part of a single, telco‑specific platform, the experience benefits every team involved—including the customer.

Let’s look at how that integration plays out in practice to make quoting and ordering faster, easier, and more accurate for telcos.

1. One catalog, one source of truth

Configuration, ordering and billing all draw from the same product catalog, so changes to offers, dependencies or prices stay in sync from quote through fulfillment and billing — even for complex, multi‑site, multi‑partner B2B deals.

Real-world example: A global enterprise Ethernet deal that spans dozens of sites and multiple partners can be modeled once in the catalog, then decomposed consistently into the right technical and commercial components for each region.

2. Streamlined quote‑to‑cash

Instead of “re‑building” the deal at order time, the configured solution sales creates in CPQ flows straight through as the order and is automatically decomposed into the right technical and commercial tasks for each system and partner, so what you sold is far more likely to match what you deliver.

Real-world example: A managed SD‑WAN offer with access, CPE, security and professional services can automatically trigger the correct downstream orders — network, field, partner and billing — without manual re‑keying.

3. Change by design, not exception

In‑flight changes — new sites, different access types, phased rollouts — are modeled and versioned in the system, with pricing and cost recalculated from the live configuration and clean deltas sent downstream instead of noisy, manual updates.

Real-world example: When a customer adds five retail locations and upgrades access types at ten existing sites, the platform generates precise change orders and price deltas instead of forcing teams to recreate the entire order.

4. Shared visibility and control

Sales, operations, finance and the customer work from the same status view, with lifecycle tracking from quote to order to fulfillment so “Where is my order?” becomes a quick check, not an internal investigation.

Real-world example: An account team can tell a wholesale customer exactly which sites are awaiting partner access, which are scheduled for field work and which are already billable — all from a single view.

5. Live margin management

Because costs, prices and partner terms are derived from the configured solution in the catalog, you get real‑time visibility into margin as the deal evolves and approvals use current data, with changes updating the business case automatically.

Real-world example: If a partner cost changes or a customer negotiates a different rollout schedule, the system instantly recalculates margin impact and can re‑route the deal for approval if thresholds are breached.

Why This Matters Now for B2B and Wholesale Leaders

B2B is widely regarded as the next wave of growth for telcos — from private networks and industry‑specific solutions to managed services, IoT, and beyond. Those revenue streams are more complex, more partner‑heavy, and more bespoke than traditional connectivity. Pursuing them will expose any sticking points in your quote‑to‑cash process.

To take full advantage of the B2B opportunity, your organization needs a reliable way to turn sophisticated offers into consistent execution across sales, operations, partners, and billing.

Think your telco is ready? Ask yourself:

• Can your sales teams confidently pursue larger, more complex deals, knowing operations and billing can execute?
• Can you give customers and partners a predictable experience from the first proposal through activation?
• Can you protect margins at every stage, not just at the moment of approval?

If the honest answer to any of these questions isn’t a resounding “yes,” it’s not too late to get there.

After more than 40 years working with service providers, our view is simple. If you treat CPQ and order management as separate problems, you’ll keep getting the same results. When you treat them as one continuous, catalog‑driven process, that’s when real change happens.

Let’s be clear: this isn’t an IT headache that you need to track down funds to fix. A modern, telco‑specific CPQ and integrated order management system is one of the clearest opportunities to strengthen how your B2B business runs. Done well, it turns the quote‑to‑cash process into a disciplined, scalable motion that gets complex deals live sooner, makes revenue and margin more predictable, and gives customers and partners real confidence that what you promise is what you’ll deliver. It carries tremendous competitive potential for telcos that recognize the strategic opportunity at hand and act early to capitalize on it.

See How Analysts View the CPQ Landscape

If you’re rethinking your approach to CPQ and order management, it helps to have an outside perspective on where the market is headed.

CSG is recognized as a Challenger in the 2026 Gartner^® Magic Quadrant for Configure, Price, Quote (CPQ). In our view, this placement reflects our performance across the complex requirements of B2B telecommunications, including the ability to manage intricate orders at scale.

Gartner, Magic Quadrant for Configure, Price and Quote Application Suites, Mark Lewis, Luke Tipping, 22 January 2026. Gartner and Magic Quadrant are trademarks of Gartner, Inc. and/or its affiliates. Gartner does not endorse any company, vendor, product or service depicted in its publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner publications consist of the opinions of Gartner’s business and technology insights organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this publication, including any warranties of merchantability or itness for a particular purpose.

Key Takeaways

• Composability in CPQ means telcos build offers from reusable “building blocks” (like standard products, options, terms and workflows) instead of creating a brand‑new bundle and custom logic every time.
• In a composable setup, teams define these building blocks once and then mix and match them wherever customers buy, so the same rules and prices show up consistently everywhere without rework.
• For the business, composability means you can launch new B2B and B2B2X offers faster, say “yes” to complex deals with more confidence, scale across markets without duplicating systems, give customers a consistent experience across channels, and reduce both vendor lock‑in and the cost of ongoing change.

What Is Composability in Telco CPQ Software and Why Does It Matter?

Do you remember playing with LEGO sets as a kid?

You could pour out a pile of bricks, click them together, and create anything your mind dreamed up. Then, just as easily, you could pull them apart and turn them into something completely different—a spaceship, a castle, a city. But the magic wasn’t in any single brick. It was in how perfectly the pieces fit together, and how many different ways you could reuse them.

That’s the core principle behind composability in Configure, Price, Quote (CPQ) software for telcos. Instead of treating every new offer as a bespoke build, a composable CPQ lets you work from a shared set of well-defined building blocks—products, options, rules, workflows—that fit together cleanly. You assemble and reassemble them to serve different customers, markets, and channels without starting from scratch each time.

When telcos start using a highly composable CPQ system, the impact is immediate. New B2B offers go out the door faster, pricing and rules stay consistent wherever the customer buys, and changing course doesn’t automatically trigger a six‑month project.

In this post, learn what composability is and how it directly impacts launch speed, complex deal execution, global scalability, and the ongoing cost of change for telcos investing in B2B.

What Composability Really Means in Telco CPQ

So, what exactly is composability? In plain terms, composability is a design principle that lets telcos build systems from modular, reusable components that can be assembled and reassembled in many ways, instead of from one‑off, hard‑wired bundles.

In a truly composable CPQ and order management system, you’re not constantly inventing new “mega products.” You can quickly structure your commercial landscape–products, offers, pricing, rules, and orders–from the same components over and over again.

Composability gives telcos a well‑defined set of building blocks:

• Base products: Access types, connectivity, core services
• Options and features: Bandwidth tiers, add‑on services, security layers
• Commercial policies: Terms, SLAs, discounts, eligibility rules
• Market variations: Regional price books, tax rules, regulatory constraints
• Process components: Validation steps, approval flows, orchestration rules

You then assemble quotes and orders by combining these building blocks just like LEGO bricks, rather than engineering each offer from scratch.

Contrast that with a traditional, monolithic approach where:

• Every new offer becomes its own bundle, with its own logic embedded in product definitions, UI flows, and custom code
• Changes to a rule or option force you to touch multiple bundles and channels to stay in sync
• Reuse is the exception; duplication is the norm

Composability flips that model. Reuse of both the product components and the telco network is baked in from day one, saving countless hours and resources as you innovate with new offers.

Design Time vs. Runtime: Where Composability Comes into Play

To understand why composability matters, it helps to separate two moments in a telco’s CPQ lifecycle:

1. Design time: When you model products, offers, and commercial rules
2. Runtime: When salespeople, partners, or customers actually configure and order services

A composable CPQ and order platform has to work well at both layers.

Design time: Assembling offers from reusable components

At design time, you’re essentially architecting the hotel before any guests arrive. You decide what you’ll offer and how it should behave.

In a composable setup, this process becomes much easier. Product and architecture teams can:

• Define modular components once (base services, options, policies, SLAs) and use them across many offers and segments.
• Create families of offers from the same building blocks (e.g., small business, enterprise, wholesale) without creating separate product stacks for each.
• Adjust a component–for example, a security option or bandwidth tier–and have that change automatically reflected wherever it’s used, with proper governance.

This is how large operators move from dozens of slightly different, siloed product variants to a small number of shared “underlying products” that serve many markets, significantly reducing complexity and cost.

Run time: Reusing logic everywhere customers buy

Composability doesn’t stop at the catalog. It also has to show up at run time, when a salesperson, partner, or customer is actually configuring and ordering services.

Many CPQ systems expose APIs for easier integration, but still force you to rebuild all the pricing, configuration, and validation logic in each front end, such as the sales desktop and customer or partner portal.

In a truly composable architecture, the vendor’s CPQ and order management engine provides two important capabilities:

1. Web components and SDKs that encapsulate the quoting and ordering logic you’ve already configured in the core system.
2. A way to embed those components directly into your own branded front ends—the digital experiences your customers already use—instead of forcing you into a generic vendor UI.

You configure the rules once in the CPQ and order system, then reuse that intelligence everywhere instead of rebuilding it channel by channel.

That’s run time composability.

5 Reasons Why CPQ Composability Is Critical for Telcos

CSPs don’t invest in composability because it looks clever on an architecture slide. They do it because it changes three things that matter every day: how fast you can launch, how safely you can say “yes” to complex deals, and how painful it is to keep changing. Here are five key benefits to a highly composable CPQ solution for telcos:

1. Launch new offers faster

In B2B and B2B2X, portfolios only move one way: up. More sites, services, and partners means more complex requirements for telcos to satisfy. In a non‑composable world, every new idea is held back by the same limitations—change requests piling up, custom code in multiple systems, and the fear that one tweak will break something you can’t see.

A composable CPQ breaks down those walls. New offers are assembled from existing parts, not hand‑built each time. Product teams start with known building blocks and add only what’s truly new. Because those parts and rules are reused everywhere, changes behave more predictably instead of exploding three integrations away.

This way, you can try more ideas, from pilots to bundles to vertical variants, without turning every launch into a mini‑transformation.

2. Say “yes” to large enterprise deals, profitably

The big B2B and wholesale deals are exactly where static CPQ systems start to creak. They aren’t designed to manage so many locations, multiple services, layered SLAs, and tight approvals. Every exception pushes you back into one‑off products or spreadsheet workarounds, and somewhere along the way it stops being clear whether the deal is still good business.

A composable system solves this by defining enterprise‑grade components (such as access types, bandwidth tiers, security levels, SLAs, and terms) once, as configurable pieces, then assembling the deal from that library. You can flex the configuration as much as you’d like, but the pricing and guardrails stay in one place.

What does that mean for operators? Quicker quotes, fewer nasty surprises in delivery, and far less “did we just give away our margin?” after the fact.

3. Scaling globally without cloning your stack

Most large communications service providers (CSPs) are really a collection of markets and operating companies. Without composability, each one ends up with its own CPQ flavor, its own catalog, and its own version of “the same” offer. That’s how you wake up with ten stacks doing 80% of the same thing.

A composable approach draws a clean line:

• Global: Shared product foundations, options, and baseline SLAs
• Local: Pricing, tax, and regulatory rules layered on top

Instead of copying the whole model for every market, local teams extend the global pieces where they need to. You get one coherent story with controlled variation, instead of several different stories that almost match.

4. Delivering consistent experiences across channels

Customers and partners don’t care which system is behind the screen. They care that they see the same price, the same rules, and that a change on Monday doesn’t vanish by Friday.

In a composable setup, the same CPQ and order intelligence shows up everywhere. The engine exposes configuration, pricing, and validation as reusable components, so sales desktops, partner portals, and customer portals all plug into the same logic, not their own homemade version.

Think of it as one brain and many faces: channels can look different, but they all think the same way.

5. Avoiding lock‑in and hidden costs

This is where composability and transparency meet. In a closed, “walled garden” model, key logic lives in proprietary UIs, data is technically there but too expensive to use, and simple asks, like “reuse that in this channel” or “send that field to this system,” turn into long projects.

A composable, open CPQ system behaves differently:

• APIs and web components are first‑class, not an afterthought
• The platform is built to sit alongside CRM, billing, OSS/BSS, and custom portals, not to swallow them

Basically, what you configure is what you can actually use. You aren’t forced to pay again (and again, and again) just to get access. Over time, that’s what keeps your CPQ and order management system evolving with the business instead of becoming the next legacy problem.

What To Look for in a Composable CPQ Platform

When you’re evaluating CPQ and order management solutions through a composability lens, you need to be sure that what you see is what you get. Begin evaluating vendors with a few sharp questions:

1. Can we define components once and reuse them everywhere?

What to look for: Products, options, rules, and SLAs should be modeled once and applied across offers, markets, and channels—not copied and pasted.

2. Can the same logic power every channel?

What to look for: Quoting and ordering intelligence should be exposed via APIs/SDKs/web components you can drop into your own experiences, without re‑implementing rules per channel.

3. Will the platform stay open as our architecture evolves?

What to look for: You’ll want to see documented, supported integration points and real deployments where the CPQ system participates cleanly with existing CRM, billing, and OSS/BSS—not slideware.

A vendor may claim to have these capabilities, but if they can’t demonstrate them live, you’re likely not looking at a truly composable platform.

CSG Quote & Order Leads with Composability in CPQ

At CSG, we’ve built our industry-leading CPQ solution, CSG Quote & Order, around these composability principles from the start. That’s why our platform fundamentally features:

• Modular product and offer modeling that lets telcos design reusable components and assemble offers quickly.
• Design‑time and run time composability, so the same intelligence that powers configuration in the back end can be embedded in your own portals and tools on the front end.
• A commitment to openness and participation, not lock‑in—which is a key reason major global operators have chosen us for complex B2B and multi‑market transformations.

Don’t just take our word for it. In its 2026 Critical Capabilities report for CPQ, Gartner recognized CSG in all Use Cases and with the highest score for Composable Use Case, which to us is reflecting the strength of this architecture in real‑world telco deployments.

Composability won’t appear as a neat line item on your financial statements. But it will show up in how fast you can launch, how confidently you can sell, how consistently you can operate across markets, and how much it costs to evolve your stack over time.

Gartner, Magic Quadrant for Configure, Price and Quote Application Suites, Mark Lewis, Luke Tipping, 22 January 2026.

Gartner, Critical Capabilities for Configure, Price and Quote Applications, By Mark Lewis, Luke Tipping, 26 January 2026

Gartner and Magic Quadrant are trademarks of Gartner, Inc. and/or its affiliates. Gartner does not endorse any company, vendor, product or service depicted in its publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner publications consist of the opinions of Gartner’s business and technology insights organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this publication, including any warranties of merchantability or itness for a particular purpose.

Key Takeaways

• Enterprise growth is limited by execution friction, not demand. Disconnected quote-to-cash processes slow decisions and increase risk.
• Clarity across the B2B customer lifecycle is a competitive advantage. When quoting, contracting, ordering, billing and settlement work as one system, decisions happen faster and outcomes are more reliable.
• AI delivers value by surfacing risk early, not by speeding up broken processes. Preventing errors before execution reduces rework and protects margin.
• Simplicity comes from structure. Aligned data and workflows replace manual reconciliation and firefighting.
• CSG helps operators scale their enterprise and partner businesses with control, predictability and scale.

Enterprise B2B doesn’t stall because decisions are slow. It stalls because no one is sure they’re right. Quotes wait for validation. Orders pause while teams reconcile differences between systems. Billing issues trigger investigations because no one owns the end-to-end lifecycle. The business hesitates instead of executing.

That’s also why AI’s impact in telco B2B has been uneven. Some operators see faster deal cycles and fewer errors. Others are stuck with pilots and dashboards that never change outcomes. The difference isn’t the algorithm. It’s the business AI is asked to support.

Most enterprise operations were never designed to scale. Processes are poorly documented, rules have accumulated over decades, and data lives in silos. In that environment, AI doesn’t reduce complexity; it exposes it. Real value comes when AI is used to create clarity, unifying how quotes, contracts, orders, billing and partner workflows operate and catching errors before they reach billing. The path from complexity to clarity starts with giving AI a single, reliable version of the business to work from, not automating systems that already aren’t serving you.

The Real Bottleneck: Unclear Decisions

Telco B2B demand has not slowed. It has become more complex. In a recent survey CSG commissioned with Omdia, 53% of organizations think their current systems and processes cannot cope with rising complexity of B2B services. Deals now span multiple services, sites, partners and commercial terms. That complexity is unavoidable. What is avoidable is how it is managed.

Most operators run their enterprise quote-to-cash lifecycle across a mix of configure, price, quote (CPQ) tools, billing platforms, provisioning systems, partner portals and spreadsheets. Each system holds part of the data.

As a result:

• Quotes are approved without full downstream visibility
• Contracts are signed before operational and commercial implications are clear
• Orders move forward with hidden dependencies
• Billing accuracy is checked after customers are affected

Every handoff requires interpretation. Every interpretation introduces delay. Over time, the business slows down to avoid mistakes. CSG’s commissioned survey with Omdia, we found that nearly 75% of organizations found limitations in their systems where orders could not be fulfilled as quoted, quotes and orders didn’t match and organizations saw the loss of revenue between quoting and ordering.

Why AI Falls Short in Fragmented Operations

AI depends on consistent inputs and clear rules. Fragmented operations provide neither. When layered onto disconnected systems, AI encounters conflicting product definitions, inconsistent pricing logic and workflows that break at handoffs. When AI is trained or deployed only within a single function, it sees just a narrow slice of the business. The result is outputs that lack context, create conflicting recommendations across teams, and ultimately slow or stall automation. Instead of elevating decision-making, siloed AI amplifies operational noise, falling short of delivering the connected, enterprise-wide intelligence organizations expect.

In this situation, AI highlights problems but cannot resolve them. Automation speeds up parts of the process while uncertainty remains at the core.

AI does not compensate for unclear operating models. It makes their limits visible.

Where Enterprise Execution Actually Breaks

The biggest weaknesses in telco enterprise rarely come from the quality of the network or the products and services offered. They come from handoffs.

• Quotes that do not translate cleanly into provisioning
• Contracts that require interpretation before billing
• Partner terms settled outside the system
• SLAs measured after delivery instead of enforced by design

By the time these issues surface, the cost is already incurred. Applying AI at that stage is inherently reactive.

The real opportunity is earlier, before execution begins.

What AI Can Do When the Business Is Ready

When operations are built on a shared structure, AI behaves very differently.

In those environments, it can:

• Flag configuration and commercial issues before a quote is approved
• Identify contract gaps before provisioning starts
• Highlight orders likely to stall
• Surface billing risk before disputes occur

This is not about replacing people or making decisions automatically. It is about giving teams the confidence to move forward. When issues are visible early, decisions become easier. Delivery becomes more predictable. Margins are protected by design.

Simplicity Is an Operating Discipline

Simplifying telco enterprise operations does not mean reducing flexibility. It means reducing ambiguity.

That requires:

• One consistent data model across quote, contract, order, bill and settlement
• Commercial rules enforced by systems, not manual checks
• Validation built into workflows
• Early visibility into risk, not after-the-fact analysis

This structure allows operators to scale decisions as well as transactions. Speed built on clarity holds up. Speed built on workarounds does not.

The CSG Point of View: AI Needs a Business It Can Rely On

At CSG, we see the same pattern again and again. AI delivers results only when the business has a single operational truth. That is why CSG focuses on unifying the enterprise quote-to-cash lifecycle into one consistent operating model, then applying intelligence where it reduces risk.

CSG helps operators:

• Align contracts, pricing, SLAs, dependencies and billing
• Connect enterprise and partner workflows without manual reconciliation
• Identify issues before they affect customers or revenue
• Reduce operating cost by eliminating rework

What Happens When Clarity Is Designed In

When operators rebuild enterprise operations for clarity, results follow:

• Dozens of legacy billing systems consolidated into a single platform
• Fewer people required to manage billing exceptions
• Billing disputes reduced by more than half, improving trust and lowering cost-to-serve

These outcomes were not driven by AI alone. They were enabled by operating models designed to support it.

AI Will Raise Expectations. Clarity Will Separate Leaders.

Enterprise complexity is not going away. Partner ecosystems, new service models and evolving commercial terms will increase it. The dividing line will not be who adopts AI first. It will be who builds a business clear enough to use it well. AI does not create advantage on its own. Clarity does.

FAQs

Why does AI struggle in enterprise B2B?

Because fragmented operations create uncertainty. AI can surface insights but without a single operational view, teams hesitate to act.

What does clarity mean in practice?

A consistent view of the full quote-to-cash lifecycle where contracts, pricing and billing align by design.

Why is early visibility into deals more valuable than automation?

Preventing errors before execution avoids rework, protects margin and stabilizes delivery. Fixing problems later costs more and damages trust.