AI governance for boards and supervisory directors

You want to move forward with AI, while staying demonstrably in control.

AI RiskWise helps you establish AI governance that lets your organization innovate within clear guardrails for ownership, data, compliance, oversight and execution.

Schedule a conversation View AI Governance Framework

For financial organizations that want to implement AI without losing control.

The reality

AI is being used in your organization. Do you govern it?

Employees experiment, suppliers add AI, teams start pilots and AI agents touch processes across departments. Can you say today which AI is running, who owns it, what data is used and what has already been assessed?

Why governance accelerates

With clear guardrails, your organization moves faster.

Good governance is not a brake. It prevents every AI decision from returning to the board table. With clear roles, data guardrails, risk domains and evidence, teams know the boundaries within which they can act.

The route

From clarity to competitive advantage.

Map your AI use

Discover current use inside your organization. See which AI is running, who owns it, what data is used and what has not yet been assessed.

Define your data and governance guardrails

Determine which data, context and process knowledge will create your differentiation when everyone has access to the same intelligence. Define how that information is captured, who may use it, how it is made suitable for AI agents and which oversight and evidence are required.

Implement an AI program that demonstrably works

Bring AI into processes, teams and systems within the agreed guardrails. Set up adoption, change capability and measurable outcomes so the organization actually uses the program.

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

From guardrails to practice

Make governance work inside the business.

From the framework, you translate AI into strategy and execution: process redesign, AI literacy, data foundations, business ownership and concrete applications such as MeetingWise or agentic AI.

Process redesign and business ownership

AI literacy and adoption

Data foundations for usable context

Working AI applications within the guardrails

Strategic differentiation

The models will not be your differentiator. Your context will.

When everyone gains access to the same intelligence, your own data, process knowledge, governance and adoption capability become the difference. Your AI strategy needs to steer toward that.

Proof from practice

Choose governance that understands practice.

MeetingWise runs in production under compliance requirements. The AI Governance Digest keeps the framework connected to current developments in law, supervision and board-level AI risks.

View MeetingWise

Next step

Do you want to know where your organization stands?

Schedule a conversation and compare your current AI use with the governance questions that boards, compliance and supervisors will soon ask.

Schedule a conversation