I tried to ground Responsible AI in things teams already recognize.

The structure loosely aligns with ideas from the EU AI Act, ISO-style management systems, and the NIST AI Risk Management Framework but without turning it into a compliance exercise.

This is a one-time purchase, because most teams just want a solid starting point, not another tool to manage.

Genuinely curious: for governance tools, do you prefer one-off deliverables or ongoing platforms?

It s not a legal certification or compliance badge it s internal governance teams can actually adopt and iterate on.

In your experience, do policies fail more because they re legally over-engineered, or because they re never operationalized?

BuildAIPolicy helps organizations create clear AI rules for internal use. You answer a few questions about your region, industry, and how you use AI. The tool then generates a practical AI policy pack that you can review and download for your team.

BuildAIPolicy tailors the policy pack based on the region and industry you select.
When you choose your country or region, the policies reflect local AI laws and guidance.
When you select your industry and departments, the content adjusts to match how your organization uses AI in practice.