When a business needs an AI usage policy, what the policy should cover and how to create practical rules for ChatGPT, Copilot and other workplace AI.
A policy is useful when AI use is already happening
A business does not need to be building its own AI model before internal rules become useful. Employees may already be using public Generative AI, AI features in office software, transcription services or specialist AI embedded in business systems.
A concise policy creates a common baseline: which tools are approved, what information can be used, what must be checked and when someone needs permission or specialist review.
What an AI usage policy should cover
- Approved, restricted and prohibited categories of AI use.
- Rules for personal, confidential, customer and commercially sensitive information.
- Human verification requirements before important outputs are relied upon.
- Restrictions around decisions affecting employees, customers or other individuals.
- Ownership, procurement and approval routes for new AI tools.
- Incident, error and concern reporting.
- Training and AI literacy expectations.
Avoid the two extremes
A blanket ban often pushes useful AI use into the shadows. A policy that simply says 'use AI responsibly' gives employees too little help. The better approach is a short set of specific rules connected to approved tools and the organisation's real information risks.
Policy should connect to governance
The policy should explain what happens when a use case falls outside normal rules. A lightweight approval path, an AI inventory and a risk review process give employees somewhere to take legitimate ideas without bypassing governance.
Blanche perspective
Write for the employee making a decision at 4pm, not for a hypothetical auditor. Clear examples, approved tools, prohibited data and escalation triggers will usually do more for responsible AI use than a long statement of abstract principles.
Sources
Primary and authoritative sources used for this Insight.