Daily guide

AI use policy for executive assistants

A practical policy for using AI tools around executive work without weakening confidentiality or judgment.

4 min readHireExecutiveTeam editorial
AI use policy for executive assistants article illustration

Define data classes, require human review for drafts

Define data classes, require human review for drafts and summaries, and record approved use cases, owners, and escalation. The support role should make the next action visible while leaving executive judgment with the accountable leader.

Write the workflow around inputs, outputs, owners, and escalation

Write the workflow around inputs, outputs, owners, and escalation. Keep access narrow, use the approved system, and document exceptions where they will be seen during the work.

Review the process after real use

Review the process after real use. Repeated questions point to missing context, while repeated rework points to a boundary or handoff that needs to change.

Read also: Confidentiality rules and SOP library.

Frequently asked questions

What should support own?

Recurring coordination and preparation that have clear boundaries and an accountable executive owner.

When should support escalate?

Escalate when a request creates a new commitment, sensitive disclosure, policy exception, or unclear decision right.

How should this workflow improve?

Review real misses and convert repeated questions into a clearer rule, template, or handoff.

Ready to define the role?

Use a recent leadership week to scope the support that would make the biggest difference. The consultation is a working conversation, not a generic pitch.

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On this page
  1. Define data classes, require human review for drafts
  2. Write the workflow around inputs, outputs, owners, and escalation
  3. Review the process after real use
  4. Frequently asked questions