THE SHORT ANSWER
A business AI policy should define scope, approved and prohibited uses, data-handling rules, human-review requirements, vendor approval, disclosure expectations, incident reporting and accountable owners. Keep it accessible, role-specific and linked to an exception process.
Cover the decisions people actually face
- Which tools and uses are approved?
- Which information must never be entered?
- When must a person verify or approve output?
- When must AI use be disclosed?
- Who approves a vendor or exception?
- How are mistakes and incidents reported?
Match rules to consequence
| Tier | Example | Typical control |
|---|---|---|
| Lower | Internal drafting with non-sensitive information | User review and approved tool |
| Moderate | Customer-facing recommendation | Documented test, owner and approval |
| Higher | Sensitive, high-impact or autonomous action | Specialist review, strong evidence, recourse and monitoring |
These are educational categories, not legal classifications. Organizations must adapt them to applicable obligations and actual harm.
Make the safe path usable
People route around a policy when approved options are unclear or review takes longer than the work can tolerate. Publish a short decision tree, a named contact, an exception route and a target response time.
Treat policy as a maintained control
- Assign an owner and review date.
- Link every approved system to the inventory.
- Use incidents and user questions to improve wording.
- Train by role and scenario, not acknowledgement alone.
- Retire rules that no longer match technology or work.
Evidence & context: National Institute of Standards and Technology · International Organization for Standardization
Sources & further reading
- NIST AI RMF Playbook
National Institute of Standards and Technology. Suggested actions for using AI RMF 1.0. It is voluntary, not a checklist or certification, and NIST states that it will be updated after the framework revision.
- ISO/IEC 42001 explained: What it is, why it matters, and how it works
International Organization for Standardization. Official overview of the AI management-system standard and its continual-improvement approach. Certification scope and a management system do not by themselves prove that a specific AI use is safe, fair or legally compliant.
- Responsible AI: Principles and Point of Focus
IndiaAI. India-focused public guidance on safety, equality, privacy, transparency, accountability and human oversight. It informs educational governance practice but is not a substitute for current sector-specific law or qualified legal advice.
Examples and exercises are illustrative unless attributed to a source. No independent expert review is claimed.
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