What a workable AI policy covers
Good governance answers everyday questions before they become incidents: what data can go into which tools, who's accountable for AI-assisted decisions, and when a human must review output. It should be short enough that people actually read it.
The goal isn't to slow your team down. It's to let them use AI confidently by making the boundaries clear, so nobody has to guess whether pasting a customer's data into a chatbot is okay.
- Which tools are approved and which are off-limits
- What data may and may not be entered into AI tools
- When human review is mandatory before acting on output
- Who is accountable when AI assists a decision
- Disclosure: when customers should be told AI was involved
- How to report a problem or a bad output
Fairness, accountability, and staying honest
Responsible AI means checking that systems don't produce biased or unfair outcomes, keeping a human accountable for consequential decisions, and being honest about what your AI can and can't do. Overclaiming is both a reputational and legal risk.
Governance also means keeping records: what the AI decided, on what basis, and who signed off. That trail matters if a decision is ever questioned, and it keeps your team honest as you scale.
- Test consequential systems for biased or unfair outcomes
- Keep a named human accountable for high-impact decisions
- Be honest in claims about what your AI does
- Log decisions and approvals for an auditable trail
- Match controls to risk: light for low-stakes, strict for high-stakes
- Review the policy as tools and regulations evolve
More on ai strategy & consulting
Frequently asked questions
We're a small company. Do we really need AI governance?
You need a right-sized version of it. Even a one-page policy on approved tools and what data is off-limits prevents the most common and costly mistakes. It scales with you, and it's far cheaper than cleaning up an avoidable incident.
Isn't this just legal red tape that slows people down?
Done well, it does the opposite. Clear rules let staff use AI confidently instead of guessing or avoiding it. The friction comes from ambiguity, not from a short, sensible policy people can actually follow.
Can you help us write a policy that fits how we work?
Yes. In a free consultation we'll look at how your team uses AI today and draft governance sized to your real risk, not a generic template. The aim is guardrails people follow, not a document nobody reads.