Governance
What an AI decision log should actually contain
Most audit trails record the output and lose the reasoning. The gap becomes expensive the first time someone asks why.
AI consulting
AI creates value only when it reaches the decision.
We help European enterprises move artificial intelligence out of the pilot stage and into the operating decisions that run their business.
Talk to us- 250
- consultants
- 3
- European offices
- 2019
- founded
- 12
- countries served
Who we are
We are the people who stay until it works.
We are engineers, statisticians and former operators. Most of us have run something before we advised anyone about it, and it shows in the questions we ask first.
We work in small teams, on site, alongside the people who will own the system afterwards. We would rather leave behind a team that no longer needs us than a report nobody opens.
What we do
Five practices, one thread: the decision that changes as a result.
AI strategy & governance
Where AI belongs in the operating model, what it may decide on its own, and the controls that make that defensible to a board and a regulator.
Generative AI & business agents
Agents scoped to a real workflow, evaluated against the human baseline they replace, and shipped with the guardrails their owners need.
Data platforms & MLOps
The unglamorous layer that decides whether anything reaches production: pipelines, feature stores, evaluation harnesses, release discipline.
AI for support functions
Finance, HR, legal and procurement — where the volume of routine judgement is high and the cost of a wrong answer is measurable.
Adoption & change
The part most programmes underfund. Training, incentives and the operating rituals that keep a model in use six months later.
Sectors
We go deep in a few industries rather than shallow in all of them.
- Financial services
- Industry & manufacturing
- Retail & consumer goods
- Healthcare & life sciences
- Energy & utilities
- Public sector
How we work
Four steps, and we hand back the keys at the end of the fourth.
- 01
Frame
We start from the decision, not the technology — who makes it, how often, and what a better one is worth.
- 02
Prototype
A working system in weeks, measured against the current baseline rather than against a demo.
- 03
Industrialise
Monitoring, evaluation, cost control and the release process that lets it survive contact with production.
- 04
Transfer
Your teams run it. We document, train, and leave — that is the point of the engagement, not its end.
Insights
What we keep learning, written down.
Operations
The pilot that never scales is a design choice
Programmes stall on evaluation, not on models. Teams that build the evaluation harness first ship far more often.
Talent
Hiring for judgement in an age of generation
The scarce skill is no longer producing an answer. It is knowing which answer is worth acting on.
Offices
Three European bases, one delivery model.
Paris
Headquarters
London
Office
Berlin
Office
Let's talk about the decision you want to improve.
We are hiring — Consultants, ML engineers and data platform specialists across the three offices. See how to apply.