An AI Writing Policy for Business: A Practical Template

A useful business AI writing policy tells people what they may use AI for, what information must stay out of unapproved tools and who approves the finished work. It should make everyday decisions easier, not ask employees to interpret a detector percentage as permission to publish.

The template below is an original operational starting point for a small content team. Adapt it to your contracts, sector, information-security requirements and review process. It is not legal advice or a compliance certification.

Start with the decisions your team actually makes

List your common outputs: blog posts, customer emails, proposals, internal updates or client reports. Then decide which tasks need extra review. Brainstorming headline ideas and drafting a statement about a customer's account do not create the same risks.

The NIST AI Risk Management Framework Playbook offers suggested actions for governing, mapping, measuring and managing AI risk; it is not a universal checklist to apply unchanged. For a writing team, translate that approach into named responsibilities and concrete approval steps.

Before adopting a policy, have the people responsible for editorial quality, customer commitments and data handling review it. Resolve who can approve exceptions rather than leaving that decision to whoever is drafting fastest.

Copy-and-adapt policy template

Purpose and scope

Our team may use approved AI tools to assist with the writing tasks listed below. A named person remains responsible for each final document. This policy covers employees and contractors preparing material for our organisation or its clients.

Permitted tasks

The policy owner will maintain a list of approved tools and uses. Examples we may permit include brainstorming, outlines, draft alternatives and editing suggestions. Approval for one task does not automatically approve another. Client instructions and project-specific restrictions take priority over this general permission.

Information handling

Do not enter passwords, customer records, confidential contracts, unpublished client material or other restricted information into an unapproved service. Use only information authorised for the specific tool and task. If a writing task requires sensitive material, ask the responsible data owner for an approved workflow before proceeding.

Verification and approval

The author checks facts, quotations, references, product claims and promises against approved sources. A designated reviewer approves external content before publication. AI output is a draft suggestion, not evidence that a statement is true. Unverified claims must be resolved or removed, not made more confident through editing.

Disclosure and records

Record material AI assistance in the project handoff: tool, task, affected content and the checks performed. Follow applicable client, publication and organisational disclosure requirements. Keep the approved version and the review record in the designated project location. Do not store sensitive prompts in a widely shared folder.

Corrections and escalation

If a published piece contains an error, notify its owner, preserve the relevant version and follow the correction process. Pause publication when a factual, privacy or contractual concern remains unresolved. The policy owner reviews exceptions and updates this policy when the workflow changes.

Turn the policy into a usable handoff

A short approval note is more useful than a box labelled “AI checked.” Record:

• Deliverable and version: which draft is being approved?
• Assistance used: which tasks involved AI, if any?
• Evidence checked: where do the factual claims and quotations come from?
• Open concerns: what still needs a decision?
• Approver and date: who is responsible for release?

For example, an editor reviewing a product email might confirm the price against the approved pricing sheet, check the destination links and ask the product owner to verify the feature description. An AI-writing score would not replace any of those checks.

For a client report, the reviewer might instead trace each conclusion to the supplied data and confirm that the client permitted the tools used. Keep that evidence separate from stylistic feedback about whether a paragraph sounds generic.

Where does an AI detector fit?

Certaffy for business can be one input to a writing review. A highlighted passage is a reason to inspect the text, not automatic proof that an employee used an unauthorised tool. A low score does not establish factual accuracy, ownership, permission or confidentiality compliance.

Avoid a policy such as “anything below 20% is approved.” Different tools and contexts produce different results, and false positives and false negatives remain possible. If your team evaluates detectors, compare them on the same documents and record errors as well as successful detections.

How should we check whether the policy works?

Review actual outcomes: unsupported claims caught before publication, unresolved exceptions, correction requests and whether approvals identify the right version. Ask writers which rules were unclear. Do not judge the policy only by whether average detector scores fall.

For reference-heavy material, add the citation verification checklist. For editorial planning, use the word-count guide to set a useful brief—not a target for filling pages with repetitive content.

Prepared with AI assistance for Certaffy. Sources checked on October 22, 2026. This template is illustrative and requires adaptation; it does not establish legal or regulatory compliance.