BuildAIPolicy
Region & Industry aware AI policies generated in minutes
4 followers
Region & Industry aware AI policies generated in minutes
4 followers
Most AI policy tools are built for enterprises or require consultants. BuildAIPolicy is different. It helps small and mid-sized organizations generate clear, ready-to-adopt AI policies and risk documentation based on their region, industry, and real AI use. No subscriptions, no enterprise tooling, and no legal complexity — just a practical starting point for responsible AI adoption.
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Hi Product Hunt!
I built BuildAIPolicy after seeing many small and mid-sized teams already using AI at work, but without clear internal rules.
Most existing options felt wrong for them — consultants are expensive, enterprise tools are heavy, and free templates are too generic.
BuildAIPolicy is a simple, practical starting point. It generates ready-to-adopt AI policies and risk documents based on your region and how you actually use AI.
It’s not legal advice — just something clear and usable that teams can adopt quickly.
I’d really appreciate your feedback:
What feels unclear?
What’s missing?
Would this help your team?
As a launch thank you, I’ve added a 20% Product Hunt discount (PH20OFF) for a few days
Thanks for checking it out
Built for internal governance (not legal theatre)
We were very intentional about what this is not.
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?
A lot of teams talk about “Responsible AI,” but struggle to translate that into day-to-day decisions.
For us, AI governance isn’t about ethics statements — it’s about clear ownership, acceptable use, and risk awareness inside the organization.
This tool focuses on giving teams something practical they can actually adopt, rather than high-level principles that sit in a drawer.
Curious how others are approaching Responsible AI today — are you seeing more progress from principles, or from concrete internal guardrails?
Responsible AI
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.
The goal is simple: help teams understand what AI they’re using, where the risks are, and who owns them, before regulation forces the conversation.
Curious how others are thinking about AI governance right now — proactive guardrails, or waiting until requirements are clearer?
Hi @all I am still early and actively refining this, so thoughtful feedback would really help. If you work with AI in a team or organization, I’d genuinely value your perspective on whether the outputs feel practical, clear, and usable not just theoretically “responsible.”
Happy to iterate based on any suggestions or gaps you spot.
Small & mid-size org focus
Most AI governance tooling feels designed for enterprises with compliance teams and consultants.
This was built for small and mid-sized organisations that still need a baseline — but don’t have weeks or budget for advisory work.
If you’re in a smaller team, what’s stopped you from putting AI policies in place so far?
Why BuildAIPolicy exists
This started as a side project after seeing how many teams were adopting AI without any internal guardrails not out of bad intent, just lack of time.
I wanted something practical enough to be adopted the same week, not shelved.
Happy to answer anything about how this was designed or what it deliberately avoids.