The AI governance firm for financial services

AI governance that doesn’t end up in a drawer.

We set the guardrails and implement until they demonstrably work. For boards and supervisory directors of financial institutions that want to move forward — demonstrably in control.

Fixed price, fixed timeline. You end up with the overview you don’t have today: what is running, and what has been assessed.

The two numbers

Ask IT how many AI tools are running. Ask compliance how many have been assessed.

The gap between those two numbers is your uncovered risk. AI projects, tools and licenses appear everywhere — and as long as nobody can tell the board how many, where and under whose responsibility, your AI policy is being written on the work floor. Without you.

Our conviction

Good guardrails make you faster, not slower.

Organizations without AI governance are not the fast ones. They are the organizations that banned AI, or where it happens in secret. Without guardrails every AI decision is a board decision; with guardrails the yes/no is decided up front and teams move within the lines without having to ask. Guardrails replace a hundred ad-hoc discussions with one decision.

How it works

One route: from overview to demonstrably working AI.

01

The AI risk scan

We map what is running, who owns it and what has been assessed. You end up with the two numbers, a risk picture across eleven domains and a board presentation. Fixed price, fixed timeline.

02

Guardrails

We settle the yes/no up front: roles, data boundaries, assessment and evidence — connected to your existing governance. No policy binder for the drawer.

03

Implementation & scale

We stay until AI demonstrably works within the guardrails: with your IT, with your suppliers or with our own build capacity. And after that, we keep it working.

AI Governance Framework

Use a framework that makes governable what would otherwise stay fragmented.

The AI Governance Framework translates AI use into eleven risk domains: ownership, human oversight, evidence, data, model use, autonomous agents and monitoring.

View AI Governance Framework

AI Governance Framework

Eleven risk domains for strategy, data, compliance, human oversight and autonomous AI agents

Clear ownership, required evidence and review cadence for each risk

Connection to existing governance instead of a separate AI policy layer

Why AI RiskWise

Not a consulting report. Not an AI build shop.

Strategy consultants stop at the framework. AI builders don’t know European supervision. We do both halves: Risk — guardrails, compliance, supervision — and Wise — implementation, adoption, culture.

Risk: guardrails, compliance and supervision

Wise: implementation, adoption and culture

With your IT, your suppliers or our own build capacity

We stay until it demonstrably works

Why now

Care should be a head start, not an excuse for standing still.

Europe chose careful AI. The winners of the regulated era are the organizations that make the guardrails work first.

Proof from practice

We run AI in production under compliance requirements ourselves.

MeetingWise, our own AI application, runs today at financial advisory firms. We know what it takes to deliver within the guardrails — because we do it ourselves every day.

The next step

Accelerating feels irresponsible. Braking feels like falling behind.

That choice is false — and you no longer have to make it. The AI risk scan gives you, within six weeks, the overview that lets you do both: give room and demonstrate you are in control.

AI governance that demonstrably works | AI RiskWise | AI RiskWise