Three services, one system. We help every organisation — regulated or not decide where AI should be applied, what to prioritise, how it fits into existing systems, and how to deploy and govern it safely — without the hype, the decks, or the 40-use-case long-lists.
Most clients start at diagnostic and graduate through the other two. A few skip to operating model — they already know where AI belongs. Very few start at execution office — but when they do, it's because a placement already exists and needs an owner.
Where AI should live in your business — and where it shouldn't. A structured diagnostic that produces a ranked, sequenced, placement-ready roadmap in six weeks or less.
The organisation layer. Governance, RACI, review cadence, evaluation lifecycle, and the org design that keeps AI owned past day 90. Built around your existing risk and regulatory posture.
An embedded AI delivery function that ships placements into production, keeps evaluations live, manages drift, and graduates the capability into your team. Long embed — not a retainer.
DATS — the Dilr AI Transformation System — is our proprietary five-stage methodology for placing AI into every organisation. Each service we offer maps cleanly into one or more stages. It's the reason our work compounds across engagements: every placement you ship strengthens the capability layer underneath.
Industry-wide data on enterprise AI outcomes. Every chart below comes from independent research — MIT, McKinsey, Gartner, BCG — not our own marketing. The same numbers are why DATS exists.
A short compare. If your situation doesn't match any column, book a call — we'll help you sequence it.
| Placement diagnostic | Operating model | Execution office | |
|---|---|---|---|
| Your situation | AI is a priority. You don't know where it goes. | Pilots are running but nothing is governed. | A placement exists and needs to reach production. |
| What you leave with | Ranked roadmap, placement map, sequenced plan. | Governance, RACI, lifecycle, org design. | Live production placements + owned capability. |
| Duration | 4–6 weeks | 6–10 weeks | 12+ months |
| Investment | Fixed-scope, fixed-fee. | Fixed-scope, fixed-fee. | Retainer + outcome. |
| Best entry if… | You're early. The mandate is new. | You have pilots, but no system. | You have a shortlist and need to ship. |
| Pairs with | Operating model (next step) | Execution office (next step) | Ongoing placement diagnostics |
We don't chase logos. We work with teams where AI has to behave — where “move fast and break things” would end a career, not launch one. Here's where we've gone deep.