Eleven risk domains
From strategy and client interest through data management, model validation, cybersecurity, compliance, third parties, explainability, human oversight, fairness and monitoring, to a separate domain for autonomous AI agents.
AI Governance Framework · Regulated financial services
Without guardrails, every AI decision is a board decision: ad hoc, risky and slow. The AI RiskWise AI Governance Framework settles the yes/no in advance: eleven risk domains, from strategy to autonomous AI agents, translated into measures your organisation can execute and defend to the regulator.
45 minutes, including a concrete first assessment of your AI use.
What the framework defines
From signal to framework
Something shifts every month: AI Act deadlines that move or hold, court cases sharpening the standard for human oversight, vendors rolling out AI agents at scale. After every headline the question is the same: what does this mean for us, who owns it, and can we show it?
Without a standing framework, your organisation answers that question from scratch every time. With one, the answer already exists: the new fact lands in an existing risk domain, with an existing owner and an existing test.
Ask IT how many AI tools and licences are running in your organisation. Ask compliance how many of them have been assessed. The difference between those two numbers is your uncovered risk.
The instrument
The AI Governance Framework (v3) was developed for insurers, managing general agents, intermediaries and advisory firms. It is not a checklist, but an instrument for recording deliberate, defensible choices about AI.
From strategy and client interest through data management, model validation, cybersecurity, compliance, third parties, explainability, human oversight, fairness and monitoring, to a separate domain for autonomous AI agents.
Every line names the control objective, the measure, the accountable role, the appropriate form of human oversight, the evidence and the frequency.
The AI Act, GDPR, DORA, product oversight rules and Dutch financial supervision law. The framework connects to your existing governance instead of adding a structure next to it.
The framework distinguishes organisation types and AI types: decision support, automated decision-making and autonomous agents. An advisory firm using AI for document review fills it in more lightly than an insurer using AI in underwriting.
Example from the framework
Risk
AI agents independently take actions outside the agreed mandate or policy boundaries.
Control measure
Explicit action boundaries and approval rules for autonomous actions: bounded and revocable.
Human oversight
Human-on-the-loop: the agent operates independently, but oversight and intervention are in place.
Evidence
Configuration settings, action logs and review reports.
How it works
In a first working session we put the framework next to your current AI use: what is running, which domains are touched, and where the biggest gap sits between what is running and what has been assessed.
For every relevant domain we record what applies to your organisation: who decides, which form of oversight fits and what evidence you keep. Proportionate, no heavier than your risk requires.
We stay until the guardrails function in practice: in your processes, with your people, defensible to your auditor and regulator.
Risk & Wise
The name AI RiskWise carries both sides: Risk stands for frameworks, compliance and supervision, Wise for implementation, adoption and culture. We do not write governance from the sidelines: with MeetingWise we run our own AI in production under compliance requirements, used daily by financial advisory firms. We know what it takes to deliver within guardrails, and that makes ours executable rather than theoretical.
Full speed without a framework ends in an incident. But braking without an engine leads to standstill. We break this false choice so you innovate and stay compliant.
Next step
Book a 45-minute working session. We present you the complete AI Governance Framework and walk through two risk domains against your own AI use, and you will see immediately where the biggest gap sits between what is running and what has been assessed. Even if you continue on your own afterwards, you leave the conversation with a sharper picture than you came with.
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