Short answer: Use AI to organise verified inputs, suggest a policy structure, identify contradictions, and produce an editable first draft. Keep business facts, control decisions, applicability, approval, and implementation review with people who understand the organisation.
Give the model bounded inputs
Provide the approved scope, systems, data, roles, suppliers, current practices, framework context, and known gaps. Label facts, assumptions, planned work, and unknowns. The model should not infer an owner, control, retention period, or implemented practice from a generic pattern.
Use AI for supportable work
Good tasks include:
- Organising answers into a consistent document structure.
- Comparing related drafts for contradictory requirements.
- Highlighting missing owners, evidence, or scope details.
- Turning approved decisions into clearer plain-language text.
- Preparing questions for a human reviewer.
The output is still a draft. It is not an ISO 27001 certificate, an implementation record, or legal advice.
Review every material claim
Check the scope, roles, controls, exceptions, references, evidence expectations, and framework terminology. Compare the draft with current workflows. Record corrections and unresolved questions. Never let polished wording convert a planned control into a claim that it already operates.
Set data and approval boundaries
Decide what information may be submitted, who can access prompts and outputs, how long data is retained, and where it is processed. Require human approval before a policy becomes the organisation’s rule.
Sources and further reading
Practical example
Give an AI drafting tool a verified scope, named roles, selected controls, current practices, and known gaps for a remote-work policy. If the input says device encryption is planned, the draft must say planned rather than claim that encryption is already operating.
FAQ
Can AI write an ISO 27001 policy by itself?
It can help organise inputs and produce a draft, but people must validate the facts, approve the requirements, implement them, and retain evidence.
How do you prevent unsupported policy claims?
Separate verified facts from assumptions and plans, keep unknowns visible, require sources or input references, and review every material claim.
How Framework Pro fits
Aneo Framework Pro uses questionnaire answers and business context to generate tailored, editable security policy drafts and supporting readiness documents. The outputs still require human review, approval, implementation, and evidence. They do not certify a business, guarantee compliance, replace controls, or provide legal advice.