Governance that keeps pace
One team runs policy, monthly operations, and evidence, and your owners sit in every review.
month after month
- 01 · GovernPolicy people followPolicies authored and kept enforceable as models, vendors, and rules change
- 02 · OperateThe monthly rhythmIntake, model reviews, cost and tooling calls, decided each month with the people who own them
- 03 · ProveEvidence on fileIt collects as the work happens, ready for the frameworks you answer to
Eight functions, one program
We run everything it takes to govern AI in an enterprise, and we answer for it.
Who approves what, where the exceptions sit, and which version is in force.
Collected as work happens, organized for EU AI Act, ISO 42001, and NIST AI RMF.
Audits answered directly from the records the program already holds.
New tools, models, and use cases reviewed and answered from one queue.
We run the governance committee and write the reporting your executives act on.
We track AI spend against budgets and catch drift early.
Which models run where, changed when a cheaper or stronger one lands.
We track the AI tooling market and govern purchases before the estate sprawls.
The quarterly brief
Every quarter the program writes the brief your executives and your auditors both need.
It is written from standing records, so audit season runs on the same evidence as every other quarter, and the board conversation starts from facts.
- Posture. Where you stand against each framework you answer to.
- Spend. AI cost against budget, with the variance explained.
- Intake. The AI requests decided this quarter, and how fast.
- Model mix. What changed in the models you run, and why.
- Open gaps. What remains, each with a named owner and a date.
The talent bar
Every team we field carries substantial experience across five disciplines. A team without all five does not get staffed, and projects are led only by senior AI experts.
That standard limits how many engagements we run at once, and which ones we accept.
Behind the senior core sits our partnership with Elios: a deep bench across AI and software engineering that lets a program grow from one embedded team into a sustained transformation effort without lowering the bar.
Two ways in
Start with a diagnostic of where you stand, or run one quarter and judge the program by its brief.
A structured read of your governance today: policies, evidence, intake, and spend, against the frameworks you answer to. You leave with the gap list and the plan.
Run one quarter of the program: monthly operating reviews, the intake queue, and a quarterly executive brief at the end. Then decide.
