AI that works for the public good.

No pilot theme park, no black box. Human-centred AI with clear rules, visible results and support within your organization.

Whitepaper

Adopting AI responsibly in your organization

A practical guide for boards, policy and legal teams: where AI really helps in public organizations, where it quietly goes wrong, and how to introduce it responsibly.

  • Where AI really helps: from internal knowledge chatbot to FOI extraction
  • Where it goes wrong: privacy, explainability and bias
  • How to introduce it responsibly: classification, algorithm register, human-in-the-loop
  • A step-by-step plan that fits public pace and accountability

Under pressure

Four forces are putting every public organization under pressure

AI is no longer optional but a precondition, and a risk without the right guidance. This is what we hear every week from public clients.

EU AI Act: high-risk systemsClassify first, then implement
A lasting crisis of trust62% name privacy & explainability as the biggest barrier
Too few people, too many tasksOnly 18% of civil servants feel AI-skilled
Falling behind the private sectorThe gap and the call for better service grow

First steps

Low-risk first steps: pick what fits

No year-long roadmap, no vendor lock-in. Concrete outcomes in days to weeks, fitting public pace and accountability.

  1. 1

    AI readiness scan

    Quick baseline per department: data, processes, risks and quick wins. Result: 3–5 concrete next steps.

    Request the scan →
  2. 2

    AI Act & ground-rules workshop

    For steering group and legal: classification, algorithm register and human-in-the-loop, with a checklist.

    Book the workshop →
  3. 3

    Pilot in 6 weeks

    One knowledge or document bot, 10–25 employees, hard metrics. Roll out or not: decide with data.

    Start a pilot →

Prefer to get acquainted first? Book a 30-min call with our public-sector curator →

FAQ

Answers to what you want to know

Does this work within our GDPR and AI Act requirements?

Yes. All providers work with an algorithm register, classification and human-in-the-loop as standard. Data processing agreements and NL/EU hosting are part of every engagement.

Can we start small?

Absolutely. Every route starts with a 1-hour readiness scan or a pilot of a few weeks, without vendor lock-in. You then decide with data whether to roll out.

Can we use our own data?

Yes, with a data processing agreement and clear arrangements about hosting (NL/EU). Your data stays your data.

How quickly can we start?

Within 1 working day of your request we connect you with 1–3 suitable providers. A readiness scan can take place within a week.

What does it cost?

The match via Baionic is free and without obligation. Engagement costs vary per provider and scope, and are shared transparently before you agree.

Whitepaper & intake

Tell us what you want to explore

Our public-sector curator gets back to you within 1 working day with 1–3 matching providers and the whitepaper.

  • Free and without obligation
  • Matched with 1–3 suitable providers
  • Response within 1 working day

Download the whitepaper

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