Yields wins VLAIO funding to build a risk management agent.

Governance for AI and models has never been more demanding. The EU AI Act, model risk regulation, and internal policy all set a clear bar for what organisations must do: inventorize their models, assess risk, document decisions, secure approvals, and keep everything traceable.

But there's a gap that every risk team knows well. Policies describe what should happen. They rarely describe how to make it happen, consistently, in day-to-day operations. So the work turns manual. Steps get interpreted differently by different people. And good governance stays stuck on paper.

We're changing that. With support from VLAIO, the Flemish government's innovation and entrepreneurship agency, Yields is building a risk management agent: intelligent automation that makes governance genuinely operational, not just documented.

Two parts working together

The agent combines two things that usually don't go together: strict control and ease of use.

What it looks like in practice

A few examples of what the agent is designed to handle:

No policy documents to decode. No manual box-ticking. Just governance tasks, done the right way.

Humans stay accountable

Automation doesn't mean handing over responsibility. Mandatory approvals remain mandatory. Accountability stays with the people who own it. And every action the agent takes is traceable, transparent, and reviewable.

The point isn't to replace human judgment. It's to remove the friction around it, so risk teams spend their time on decisions, not on navigation and paperwork.

Why it matters

As AI adoption accelerates, the number of models and use cases to govern grows faster than any team can manage by hand. Governance has to scale. And it has to stay under control while it does.

By combining deterministic enforcement with conversational interaction, the risk management agent creates a practical bridge between governance policy and real-world AI operations. It makes risk management more accessible, more efficient, and more scalable, without loosening a single control.

We're proud to build it with VLAIO's support. It's an extension of the work that earned Yields Category Leader status in the Chartis 2025 RiskTech Quadrant for AI Governance, and the trust of institutions like HSBC, BNP Paribas (Personal Finance), and Euroclear. The same structured approach applies wherever organisations need to govern AI and manage its risks, from financial services to healthcare and HR. The mission stays the same: making AI and model risk management simple, structured, and audit-ready.

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