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Practical AI guide

How to Prepare an AI Use Policy Brief

Gather the decisions and ownership needed for an organization-specific AI use policy, including tools, information, review and exceptions.

In brief

What should an AI use policy brief include?

An AI use policy brief should identify permitted workflows, approved tools, information boundaries, review owners and an exception route. Gather these decisions with business, IT and the relevant policy owners before drafting final wording. This guide helps prepare that discussion; it is not a legal policy or compliance determination.

By NMR Infotech · Updated · Editorial standards

Describe the scope in plain language

Specify which people, tasks and systems the planned policy covers. Separate employee use of a general assistant from an integrated application that can access records or take actions. Those situations need different decisions about permissions, ownership and review.

Inventory the actual workflows

Ask teams what they are already trying to do and which tools or accounts they use. Record the type of information involved without collecting unnecessary sensitive content. The purpose is to identify decisions that need ownership, not to assume every task should be approved or prohibited in the same way.

Define information and tool boundaries

Identify who can approve a tool and what evidence they need. Make permitted and restricted information categories understandable to employees. State what to do when the category or account setup is unclear, and provide an approved route for asking questions.

Keep responsibilities visible

Specify who checks outputs, who authorizes external communication and who approves changes to a live system. A statement that “humans remain responsible” needs an operational handoff: a named role, a check and a clear point before the action occurs.

Design exceptions and incident reporting

Explain how someone should stop a questionable workflow, report an unexpected disclosure or inaccurate output and obtain guidance. Decide who receives the report and how the normal work continues while the issue is reviewed. Do not require an employee to improvise a response to an unfamiliar incident.

Review with the right owners

Bring the proposed decisions to the organization’s business, IT, security, privacy, legal and other relevant owners. This planning guide is not a legal policy or a compliance determination. Applicable obligations and final wording need the organization’s appropriate qualified review.

Working template

A template you can use in your planning

Questions to adapt to your organization
AreaWhat to record
Permitted useWhich tasks and account configurations have been approved?
InformationWhat may be entered, retrieved, retained or shared?
ReviewWho checks material facts and approves consequential actions?
ExceptionsWhere do employees go when a task falls outside the guidance?
OperationsWho owns changes to the tool list, workflow and supporting training?
EvidenceWhat records are useful and proportionate for the task?

Apply the method

What does this look like in practice?

Synthetic example

A fictional team proposes AI-assisted customer replies. The brief allows drafting from an approved knowledge base, requires a support reviewer and prevents the draft tool from sending a message. Requests for exceptions follow the existing escalation process. The final policy would still need review against the organization’s actual systems and obligations.

Questions about applying this guide

Can we use this as a starting template?

Yes. Adapt it to your actual task, systems and review requirements. It is a planning aid; it does not replace organization-specific decisions or the relevant professional review.

What should we do when important information is missing?

Record the gap and name the person or source that can resolve it. Do not turn an assumption into an approval, a policy requirement or a business result.

Apply the guidance

How can you put this guide into practice?

Choose one task owner and a small permitted example. Write down the expected output, who will review it and what would make the result unsuitable for use. Run the exercise, record corrections and decide what must change before repeating it.

Keep the first version easy to inspect. Do not treat the example as evidence that an entire process can be automated or that a particular tool is appropriate for every kind of information.

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