We build custom AI workflows that transform weeks of manual work into minutes of intelligent output. FTSE 100 companies use 60x to ship AI capability in days — not quarters.
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We build custom AI workflows that transform weeks of manual work into minutes of intelligent output. FTSE 100 companies use 60x to ship AI capability in days — not quarters.
Fill out this form to get in touch with us. All fields except company and WhatsApp are required.
Your highest-paid team members are spending their days on research, data wrangling, and formatting — not on the judgment and expertise you actually hired them for. We build custom AI systems that take over the tedious, manual middle of knowledge work.
Your team spends weeks reviewing dozens of interview transcripts, research documents, and internal files to produce a single client deliverable.
We build AI-powered report generation engines that ingest your raw source material — call transcripts, meeting notes, research files, internal frameworks — and produce structured first drafts that follow your specific analytical methodology. The system doesn't guess at your approach; we reverse-engineer how your senior people actually think and encode that logic into the pipeline.
Tasks that consumed an analyst's entire week now produce a structured first draft in minutes, with the capacity to scale from 10 to 15 concurrent projects per year.
You have thousands of documents — SOPs, manuals, product specs — that need to be converted into a completely different format, and your team can only process them one by one.
We build pipelines that ingest documents at massive scale and transform them into whatever output format your business requires. The system doesn't just reformat text — it makes intelligent decisions about structure, emphasis, and presentation. For one client, we built a course generation engine that converts dense safety manuals into interactive training modules.
Course creation went from 1–6 weeks per module to 15–20 minutes. Product listing generation went from 20 minutes of manual effort per SKU to 1–3 seconds, automated.
Critical signals about your clients — frustration, churn risk, upsell opportunities — are buried across Slack threads, meeting transcripts, emails, and CRM notes.
We build intelligence platforms that continuously ingest communications from every channel your team uses and automatically surface what matters: client sentiment shifts, emerging risks, and revenue opportunities. Reports land where your team already works, on the schedule you choose, without anyone lifting a finger.
QBR preparation dropped from 4–6 hours of manual work per client to zero. The platform evolved into a company-wide intelligence backbone with 15 daily active users.
Your workflow depends on experienced professionals making repetitive judgment calls — assessments, classifications, condition ratings — that still require human eyes on every single item.
We reverse-engineer how your best people make decisions, then encode those heuristics into AI systems that replicate expert judgment at scale. This isn't about replacing expertise — it's about freeing your experts from the repetitive application of that expertise. Every automated judgment comes with confidence scores and source evidence.
15–60 minutes saved per report on photo processing and property descriptions alone, with the system forming the foundation for a complete "AI associate" vision.
Your most valuable institutional knowledge is trapped across email chains, shared drives, CRM notes, and meeting recordings. No one person can search all of it intelligently.
We build custom knowledge graphs that sit on top of your existing systems and create an AI-accessible layer across everything your company has ever produced. We call it "Context Farming." Your data stays exactly where it is — we don't force migrations. The knowledge graph continuously synchronizes as new emails land and projects are completed.
Ingested approximately 10,000 files across 70 projects with 13 custom metadata tags, enabling contextually aware retrieval that generic tools couldn't deliver.
Every metric below comes from a system we built, deployed, and handed over to a real client. These aren't projections from a strategy deck — they're production results from AI systems running today.
Analyst report drafting: 1 full week of manual work → structured first draft generated in minutes
A global advisory firm’s consulting team was spending weeks manually reviewing 40–50 stakeholder interview transcripts per project. We built a custom AI report generation engine backed by a knowledge graph of 10,000 ingested files. The system now generates first-draft observations, implications, and recommendations.
Projected capacity increase from 10 to 15 concurrent projects per year, without adding headcount.
Training course creation: 1–6 weeks per module → 15–20 minutes, fully generated
We built a multi-agent course generation engine that converts dense client documentation — safety manuals, SOPs, technical textbooks — into interactive digital training courses. One client alone had 40,000 SOP documents waiting for digitization — previously an impossible backlog.
Cost per generated course: under £100 in compute, compared to weeks of billable manual labor.
Product listing creation: ~20 minutes of manual effort per SKU → 1–3 seconds, automated
For a catalog of 500,000 automotive parts, we rebuilt the entire data pipeline. Titles, descriptions, bullet points, and meta tags now generate simultaneously across Amazon, eBay, and Shopify. A multi-agent enrichment system resolves ambiguous data automatically.
Full pipeline processing compressed from 9 days to a few hours. 97% of items require zero human review.
QBR preparation per client: 4–6 hours of manual context gathering → fully automated intelligence reports
Critical signals about client health were buried across Slack, HubSpot, and Airtable. We built a client intelligence platform that ingests data from all sources, scores sentiment, flags risks, and generates bi-weekly intelligence reports delivered straight to Slack.
Total infrastructure cost: ~€150/month. Identified churn risk for a client before they actually churned.
Photo processing & property descriptions: manual expert work per report → fully automated with confidence scoring
Appraisers were spending significant time categorizing 50+ inspection photos and assessing room conditions. We reverse-engineered the decision frameworks of a senior appraiser with 13+ years of experience, building a multi-agent system that auto-fills property descriptions with color-coded confidence indicators.
Foundation for an "AI associate" vision — producing complete first drafts before a licensed appraiser touches the report.
Five clients. Five industries. One pattern: weeks of work compressed into minutes.
Explore all case studiesEnterprise knowledge graphs that connect your data, context, and institutional knowledge into a living AI brain. It surfaces the right context to every workflow — and gets smarter over time.
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No ecosystem overhaul. Automations integrate directly with OneDrive, SharePoint, your internal drives, and CRMs. Your team doesn't learn new software — they just get superpowers.
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AI capabilities evolve dramatically every few months. We continuously upgrade your workflows with the latest models so you never accumulate tech debt. Your systems get better while you sleep.
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Most companies exploring AI find themselves stuck between two bad options. On one side, the big consultancies will sell you a six-figure strategy deck. On the other side, freelance developers will build you something fast, but they don't understand your business. We sit in that gap.
Most enterprise AI projects follow a familiar pattern: months of scoping, a proof of concept that sits in staging, and a production deployment that never quite arrives. We operate on a fundamentally different timeline. Our typical path is a working prototype on your data within two weeks, iterating from there based on what your team actually needs when they use it.
Generic AI tools give generic results. The reason off-the-shelf products fail for complex workflows isn't a technology limitation — it's a context limitation. They don't know your methodology, your quality standards, or the nuances of how your team actually works. Everything we build is reverse-engineered from your specific processes.
We don't sell time and materials. We establish KPIs upfront for what the outputs need to achieve, and we align our success with yours. If the system doesn't deliver to the agreed standard, we haven't done our job. This is also why we start every engagement with a tightly scoped "no regrets" action.
AI capabilities are changing materially every six months. You shouldn't need to run a new vendor search every time the landscape shifts. We act as your fractional Chief AI Officer, maintaining continuous evaluations of what can be automated now versus what's worth waiting for. We tell you when to buy off-the-shelf and when to build custom.
We build AI systems that work in the real world — where data is messy, timelines are tight, and the goal isn't a demo but a production system that transforms how your team operates.
Let's talk about your workflowThe numbers above tell the story of what happens in month one. But the clients who see the greatest return are the ones who stay — because every system we build is designed as a foundation, not a finished product.
What started as a single client intelligence tool for YOYABA evolved into a company-wide intelligence layer they call "Kaldi." By February 2026, the platform had 15 daily active users and became the backbone of how YOYABA runs its entire client services operation. The original engagement paid for itself many times over because the infrastructure was designed to be extended.
EG.1's knowledge graph didn't stop being useful after the first report. The system continuously ingests new documents as they land in SharePoint. With approximately 10,000 files across 70 projects already indexed, the graph gets richer and more contextually aware with each engagement. The ROI of the initial build didn't peak at delivery — it's still climbing.
Lightbulb Edtech didn't just get faster at making courses. They changed what they could say yes to. A 40,000 document backlog became a viable commercial opportunity. At Autonative, compressing the pipeline from 9 days to hours unlocked the ability to get 500,000 SKUs to market. These clients aren't just doing the same work faster — they're doing work they previously couldn't do at all.
Every system we build is designed to deliver value on day one and compound from there. We're there to identify and build the next high-impact automation before you even know it's possible.
Let's talk about your ROI →It is the infrastructure that makes your company smarter. We connect your CRM, documents, communications, and past reports into a living “AI Brain.” This surfaces the exact right context to every automated workflow and gets smarter with every interaction.
Fill out this form to get in touch with us. All fields except company and WhatsApp are required.
Join the FTSE 100 companies already shipping AI capability with 60x.
Fill out this form to get in touch with us. All fields except company and WhatsApp are required.