AI Governance & EU AI Act
Be audit-ready before the EU AI Act deadline, without turning innovation into paperwork.
Practical AI governance that classifies your AI systems, closes the gaps and gives you defensible documentation for the EU AI Act and your board, lightweight controls that fit how you actually work, not innovation-killing bureaucracy.
- A defensible AI risk & governance framework
- EU AI Act classification and documentation for your systems
- Confidence to deploy without legal or reputational surprises
- →AI system inventory & risk classification
- →Governance policy, roles & approval workflow
- →EU AI Act readiness assessment & gap plan
- →Model documentation and audit-trail templates
Assess
Inventory your AI use and classify risk under current regulation.
Frame
Lightweight policies and controls that fit how you actually work.
Embed
Approval workflows and documentation baked into delivery.
The EU AI Act is a deadline, not a debate
The EU AI Act is phased in over the next few years, and its obligations scale with how risky your use of AI is. For most companies the exposure isn't the headline-grabbing prohibited uses; it's the quieter reality that AI is already woven through the business, in a hiring screen here, a credit or eligibility decision there, a customer-facing assistant somewhere else, often without anyone having formally decided it was in scope. You can't govern what you haven't inventoried, and you can't classify risk you can't see.
The trap is treating this as a pure legal exercise that lands as a stack of paperwork nobody reads and that slows every new idea to a crawl. That's how governance gets a bad name and quietly gets ignored. The Act does require documentation, but the point of good governance is narrower and more useful: know what AI you're running, know how risky each system is, and have defensible evidence that you're managing it. Done right, it's a safety rail that lets you deploy with confidence, not a brake.
What we do: inventory, classify, document, embed
We start by assessing what you actually have. We inventory every AI system in use, including the shadow ones bought on a team credit card or bolted onto a workflow, and classify each by the risk tier the regulation defines. That inventory alone usually surprises people, and it's the foundation everything else stands on. From there we run a readiness assessment against the Act's requirements and hand you a concrete gap plan: what's compliant, what isn't, and what to do about each item, in priority order.
Then we frame the controls. We write lightweight policies, define who owns what, and set up an approval workflow that fits how your teams actually work rather than bolting on a committee that everyone routes around. Finally we embed it: model documentation and audit-trail templates, and the human-in-the-loop and monitoring controls that make an automation defensible, baked into how systems get built and shipped rather than retrofitted under audit pressure later.
Lightweight by design, and defensible when it counts
Our bias is toward the minimum viable governance that actually holds up. Heavy frameworks look impressive and get abandoned; the controls that survive are the ones proportionate to the risk in front of them. A low-risk internal tool shouldn't carry the same paperwork as a system making decisions about people, and forcing it to is how the whole thing collapses. We calibrate the weight to the risk so compliance fits inside delivery instead of fighting it.
Because we also build AI systems, our governance is written by people who know what an automation actually does, not from a template that's never met production. That's the difference between documentation that would satisfy an auditor and documentation that just looks the part. You own all of it: the inventory, the policy, the risk classification, and the templates live in your accounts for your team to maintain. We're not selling a subscription to our compliance platform; we're leaving you able to run this yourselves.
Who it's for, and where it's overkill
This is for regulated industries, compliance officers, and any company deploying AI at customer scale or in decisions that affect people, hiring, lending, eligibility, safety. If a regulator, an enterprise customer's procurement team, or your own board is going to ask how you govern AI, you want a defensible answer ready before the question lands rather than assembled in a panic afterwards.
It's overkill if your AI footprint is genuinely trivial, a couple of people using an off-the-shelf assistant for low-stakes drafting, where a short internal usage policy is proportionate and a full framework would be theatre. Even then, the inventory step is worth doing once, precisely so you can prove the footprint is small. If you're not sure which camp you're in, that uncertainty is itself the reason to run the assessment: it turns a vague worry into a clear, sized picture.
Questions we hear before the first call
Does the EU AI Act even apply to us?+
If you deploy or use AI systems and operate in or serve the EU, very likely yes, though the obligations scale with risk. Most companies underestimate their exposure because AI has crept into workflows unnoticed. The inventory and classification step gives you a definite answer instead of a guess.
Will governance slow our teams down?+
Not if it's proportionate. We deliberately build the lightest controls that hold up, calibrated to each system's risk, and bake approvals into how you already work rather than adding a committee everyone avoids. The aim is confidence to deploy, not a brake on every idea.
We're not sure what AI we're even running. Is that a problem?+
That's the normal starting point, and it's exactly what the inventory solves. We find the systems in use, including shadow tools bought outside procurement, and classify each by risk. You can't govern what you can't see, so surfacing the full picture is the first deliverable.
Do we need lawyers, or can you handle it?+
We handle the practical governance: inventory, risk classification, documentation, controls, and the gap plan, written by people who build AI systems. For formal legal sign-off on your specific obligations you'll still want your counsel, and our documentation is built to make that review fast rather than a scramble.
Find out where AI actually pays off for you
Tell us a bit about your business. We'll come back within one business day with a short, honest read on the highest-ROI AI opportunities we see, and whether it's even worth starting yet.