By Prefactor

Is Your Organisation
Agentic Ready?

95% of enterprise AI agent projects never reach production. The blocker isn’t technology — it’s governance. Find out where you stand in 5 minutes.

AI agents are coming.
Most organisations aren't ready.

The gap between piloting agents and deploying them isn't a technology problem. It's a governance problem.

95%
of agent projects fail to reach production
Not because the technology doesn’t work — because organisations lack the governance frameworks, identity controls, and compliance infrastructure to deploy agents safely at scale.

Shadow AI is already happening

Teams are experimenting with agents without audit trails, oversight, or security review.

No governance = no production

Manual approvals and ad-hoc access controls create bottlenecks that kill agent projects in POC.

Compliance is non-negotiable

Without audit trails and automated policy enforcement, regulators won’t let agents near production.

Four stages from experimentation
to agents at scale

Every organisation is somewhere on this curve. Take the assessment to find out where you are — and what it takes to move forward.

Find your place on the curve

Answer a few questions about how your organisation handles AI agents today. You'll get your maturity stage and what to focus on next.

01

Ad Hoc

“We have some AI tools, but no agent strategy”

This is where most organisations start. Individual teams are experimenting with AI tools and occasionally agents, but there’s no central visibility, no governance, and no consistent approach.

The risk isn’t inaction — it’s unmanaged action. Shadow AI is happening across your organisation. Without a registry of what agents exist, what data they access, and what actions they take, you’re accumulating risk with every experiment.

Getting out of this stage means acknowledging that AI agents aren’t just another tool — they’re autonomous actors that need identity, oversight, and boundaries.

No Visibility

No inventory of agents or AI tools across the org

No Identity Model

Agents use shared credentials or personal tokens

No Audit Trail

No record of what agents did or what data they touched

Team-Level Only

Experiments driven by individuals, not the business

Think your organisation might be here?

Take the Assessment
02

Emerging

“We’re piloting agents, but they keep getting stuck”

This is the most dangerous stage — and where 95% of organisations get stuck. You’ve launched POCs, but manual approval processes, ad-hoc access controls, and inconsistent compliance create bottlenecks that prevent anything from reaching production.

The pattern repeats: a team builds an impressive agent demo, stakeholders get excited, then legal, security, and compliance raise questions nobody can answer. The project stalls. Another team starts a different POC. The cycle continues.

Breaking through requires intentional agent governance — a basic registry, preliminary identity framework, and initial compliance posture are the minimum to move forward.

POC Purgatory

Multiple pilots, none graduating to production

Manual Bottlenecks

Every agent deployment needs manual security review

Inconsistent Standards

Each team invents their own approach to agent security

Stakeholder Fatigue

Executive enthusiasm fading as projects fail to launch

Stuck in POC purgatory?

Take the Assessment
03

Managed

“We have governance — agents deploy with confidence”

The breakthrough stage. The organisation has a centralised agent registry, automated policy enforcement, proper identity and access management for non-human actors, and audit trails that satisfy compliance.

Agents don’t need months of review to reach production. Guardrails are automated, not bureaucratic. Security and compliance teams have visibility, and deployment pipelines exist for agent workloads.

New agent use cases go from concept to production in weeks, not quarters. The organisation can say yes because the infrastructure makes it safe.

Agent Control Plane

Centralised registry, identity, and policy management

Automated Guardrails

Policy enforcement that scales — not manual reviews

Full Audit Trails

Every agent action logged, traceable, compliant

Weeks, Not Quarters

New agent use cases reach production fast

Ready to build your control plane?

Take the Assessment
04

Autonomous

“Agents run at scale with adaptive governance”

The end state. Multi-agent orchestration is standard. Governance adapts dynamically based on risk context and agent behaviour. Compliance is continuous, not periodic. The agent portfolio delivers measurable ROI.

At this stage, agents aren’t a project — they’re an operating capability. New agents inherit governance by default. The organisation scales agent deployments as fast as it can identify use cases.

Very few organisations have reached this stage today. Those that do will have a structural advantage in the agentic era.

Multi-Agent Orchestration

Agents collaborate within governed boundaries

Adaptive Governance

Policies adjust dynamically based on risk context

Continuous Compliance

Always audit-ready, not just at review time

Quantified ROI

Clear measurement of business value across the portfolio

Building towards autonomous governance?

Take the Assessment

We help organisations
move up the curve

Prefactor helps enterprises close the gap between AI experiments and AI agents in production. We build the governance frameworks, control planes, and operational infrastructure that move organisations from Stage 1 to Stage 4.

This is our open resource — raising the bar for how enterprises think about agent governance before they deploy.

Learn more about Prefactor →
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Discovery & Assessment

Map your maturity and build a roadmap to production

🏗️

Agent Control Plane

Centralised governance infrastructure for enterprise agents

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Compliance Frameworks

Purpose-built compliance for autonomous AI systems

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POC to Production

Break through where 95% of agent projects fail

Stay ahead of the curve

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