BAS: business analysis and responsible decision-making in a public process

Situation

The CIZ assesses whether people are entitled to long-term care — decisions that directly and deeply affect citizens. To support the assessment, the Decision Advisory System (BAS) was developed: an AI-based model that advises the professional in the decision. Exactly the type of use where the bar is highest: an algorithm that touches access to public provisions — under the AI Act the high-risk domain par excellence.

NIYA's role

The work was mainly business analysis and functional design: translating the professionals' needs into careful process and design requirements. The core of the assignment: a model that supports the professional without replacing the human judgement.

Approach

• Human-in-the-loop as a design principle: BAS advises, the professional decides
• Explainability first: advice the professional can understand, test and reasonably set aside
• Care requirements (GDPR, proper administration, and the instruments now landed in the AI Act and IAMA) translated into concrete design and process requirements
• Iterative development with the operational practice at the table

Result

The design set out what the system may and may not do: BAS advises, the professional decides, and that advice is traceable. Those boundaries — made explicit up front and testable — ultimately mattered more than the model itself.

I am happy to say more about the precise results and the system's current status in a personal conversation. Not everything from a public delivery process belongs on a website.

What this proves

NIYA combines business analysis and functional design with responsible AI — in a high-risk domain where diligence is everything. AI was the subject here; the craft was analysis, design and governance. Whoever knows such a project from the inside assesses and guides it for you with different eyes.