AI Transformation
Where companies aim narrowly, AI pays. Where they spread it thin, it does not.
Almost everyone is spending on AI. Almost nobody is earning from it. The difference isn't the technology — it's choosing the right process, re-engineering it, and measuring before you build.
The gap
39%
of enterprises report any EBIT impact from AI — most under 5%.
McKinsey, Nov 2025
25%
have moved 40%+ of their AI pilots into production.
Deloitte, Jan 2026
>40%
of agentic AI projects predicted cancelled by end of 2027.
Gartner, Jun 2025
The technology is not the bottleneck. Adoption is near-universal. Measured return is not.
Why blanket rollouts fail
A licence changes nothing — unless the work is verifiable.
A seat pays where three things hold: output can be checked in seconds, the model is strong at that work, and one person can act alone. Software engineering satisfies all three. Most back offices satisfy none — the work spans systems that never talk, output takes as long to check as to produce, and the model was never trained on your private data. This is why 40 Copilot seats moved nothing.
No vendor sells you the 70%. That's the work we do together.
How we choose where to start
The old screen finds savings. The new one finds the money.
LENS A — Structured automation
Time-consuming, repetitive, well-defined, data-rich. Finds invoice processing, cash application, reconciliation, payroll, vendor onboarding. Real work, modest savings — easier than ever with today's tools.
LENS B — Language & judgement work
Inputs are documents, email, notes, scans, conversation — the rules live in people's heads. Deviation investigations, insurance submissions, rebate entitlements, batch traceability, root-cause drafting. Impossible in 2018, merely difficult now — and where the money is.
The test we apply first: an agent pays when checking is cheaper than doing.
The honest question
Should you build this yourself? Sometimes.
Build it — if
- · You employ engineers who use coding agents daily
- · Your value pools sit inside software you already own
- · Your engineering roadmap has room
We can still help drive strategy and direction.
Engage us — if
- · Your processes cross systems that never talk
- · Your rules live in people's heads
- · Nobody has measured a baseline
- · You won't realistically hire and direct an AI team
What we do that a good engineer does not: choose the process, redesign it, measure the baseline before anything is built, get people to use it, re-score quarterly — and build to hand over. Success is your AI council running without us.
How we begin
Five steps. The first two are free — and it is not a sales call.
- AI Value ScanHalf a day, no fee. We run both lenses across your processes.
- AI AssessmentThe output of that half day — yours to keep either way: opportunity map and prioritised shortlist.
- AI StrategyInterviews, data-landscape review, a sequenced roadmap, an ROI framework. Two weeks, fixed fee.
- Proof of ConceptTwo initiatives, chosen with your leadership. Capped, gated, measured.
- Rollout & PartnershipProduction rollouts, your AI council, monitoring and refinement — built to run without us.