Get AI out of the pilot and into the P&L
For the COO or CEO whose AI programme stalled: find the workflows where automation actually changes your economics, redesign them properly, and prove the gain against a baseline your board can audit.
Book a briefingThe pilots demoed well and never reached the P&L.
You bought licences, ran a proof of concept, and a year later the finance report looks the same. MIT's 2025 enterprise study put 95 percent of organisations in exactly that position, and located the cause in workflow integration and organisational readiness rather than the models.
The pattern is consistent: capable technology pointed at processes that were never engineered to receive it. Undefined decision rights, exceptions handled by whoever has been there longest, and data that is only accurate after someone cleans it.
How we unstick it.
- 01
Assess
Two weeks. Score the operations, measure a real baseline, and name the two or three workflows worth doing first.
- 02
Redesign
Rebuild those workflows: decision rights, exception paths, data contracts, and the human-agent split.
- 03
Integrate
Automation goes into the live process, measured against the baseline rather than a demo.
- 04
Own it
Process ownership and a measurement cadence stay inside your organisation after we leave.
What good looks like at the end.
A number you can defend
Cost per unit and cycle time, before and after, on workflows your finance team agreed to measure up front.
Processes people follow
Designed with the operators who run them, which is the difference between adoption and a new binder.
A basis for the next move
The map, the baseline and the ownership model make the second and third workflow substantially cheaper.
Documentation that pays later
The same artefacts answer an auditor, an enterprise customer's questionnaire, or an acquirer's diligence.
The relevant services.
Book a 30-minute briefing
A short conversation is usually enough to tell you whether this is the right first move — and what it would cost.
Book a briefing