agency AI policy template
Agency AI policy template
AI policy guidance for agencies and consultancies using generative AI in client work while protecting client data and trust.
For teams ready to implement rather than only compare options, the related template is Agency AI Policy Kit and the public sample is available in the sample library.
Buyer
Agency owners, consultancy operators, account leads, creative directors, and operations teams
Problem
Agencies often use AI in client work before defining client-data restrictions, disclosure guidance, review standards, and approved tools.
What to look for
- Client-data rules covering non-public materials, campaign data, strategy, credentials, and personal data.
- Review requirements for factual accuracy, tone, confidentiality, claims, and source sensitivity.
- Disclosure guidance for contracts, client policies, and AI-assisted deliverables.
Red flags
- Client materials are uploaded to public AI tools without approval.
- AI output goes to clients without human review.
- Account teams do not know when disclosure is required.
FAQ
Should agencies ban AI in client work?
Usually no. Agencies need clear data, review, disclosure, and approval rules rather than a blanket ban.
Can this be used for consultancies too?
Yes. Client-service firms face similar confidentiality and quality-review issues.
Related next steps
AI policy for agencies
Protect client data and quality when agency teams use AI for research, content, strategy, creative, or analysis.
See the operational use caseAgency AI Ops Pack
Client-service AI policy, disclosure, review, and approval material for agencies using AI in client work.
Review the pack