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Module 11 · Lesson 11.6 · 9 min

Your AI Use Policy

Write a one-page internal AI use policy that your team can actually follow.

Module 11
Security, Governance and Trust

Real power for your agents, without losing sleep

Bruno Ashford
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The principle
Trust is not a feeling. It is boundaries you set, checks you run and evidence you keep.
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Lesson 11.1

Permission modes

ModeWhat runs without askingUse it for
Manual (default)Reads onlySensitive work
acceptEditsReads and file editsDrafting you review
planReads, no changesThinking before acting
autoMost actions, classifier reviewsLong tasks
dontAskOnly pre-approved toolsScheduled runs
bypassPermissionsEverythingIsolated containers only

Press Shift+Tab to cycle. Check the status bar.

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Lesson 11.1

Rules beat reminders

Deny beats ask beats allow, in every mode.

  • Allow the boring, safe work
  • Ask for anything sensitive
  • Deny secrets, deletes and publishing
  • Review them with /permissions
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Lesson 11.2

Customer data habits

  1. 1List itKnow what personal data you share
  2. 2Minimise itOnly the columns the task needs
  3. 3Separate itOne client, one folder
  4. 4Check termsKnow your plan's data settings
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Lesson 11.2

The laws in the background

Good habits, not legal advice.

  • UK GDPR and EU GDPR
  • US state privacy laws, like California's
  • Sector rules for health, legal, finance
  • Speak to a lawyer for specifics
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Lesson 11.3
A secret that has been in a chat or a synced file should be treated as exposed.
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Lesson 11.4

Who approves what

ActionLevelApprover
Draft a replyAutomaticNone
Send to a clientApprovalAccount owner
Refund over limitApprovalOwner
Delete recordsNever delegatedOwner, by hand
Legal noticeNever delegatedOwner and lawyer

Your full matrix is in the materials.

Bruno Ashford · Module 1108 / 12
Lesson 11.5

Three layers of verification

  1. 1Self-checkAgainst a short checklist
  2. 2Separate reviewerFresh session or subagent
  3. 3Human sample100 percent first, then sample
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Illustrative example, not research

One law practice, one month apart

9 to 1errors found per month
100% to 25%letters reviewed by a person
0wrong letters sent to clients
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Lesson 11.6

A policy people actually read

One page, plain English.

  • Approved tools and accounts
  • What data can and cannot be used
  • What always needs approval
  • Who to ask, and review quarterly
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Recap
Governance is what lets you say yes to AI with confidence, instead of hoping nothing goes wrong.
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01 / 12

Use ← → to move. The marker highlights text and the pencil draws on the slide; navigation locks while you annotate. Undo removes the last mark, Esc exits.

1Start from the template

Copy the one-page AI Use Policy template from this module's materials into your business folder. It has eight short sections and fits on one printed page.

2Let Claude draft it from your real setup

Ask Claude to fill in the template using your settings, your approval matrix and your privacy rules, so the policy describes what is actually enforced rather than wishful thinking.

Prompt for Claude
Fill in materials/11-ai-use-policy-template.md for our business using what is actually configured: the permission rules in .claude/settings.json, the approval matrix, the Privacy section of CLAUDE.md and our list of approved tools. Keep it to one page, in plain English a new employee understands. Mark anything you had to assume with ASSUMPTION.
3Review it as the owner

Read every line and ask: would I be comfortable if a client read this? Can a new hire follow it without asking me? Remove anything vague. For regulated sectors (health, legal, finance), have your lawyer or professional body review it.

4Run the security checklist

Go through the Agent Security Checklist for every agent, skill and routine you have built so far. Fix what fails before you give more autonomy.

Prompt for Claude
Go through materials/11-agent-security-checklist.md for this project. For each item, tell me pass, fail or not applicable, with the evidence (file and setting). List the failures first, with the fix for each.
5Share it and review it quarterly

Share the policy with the team, ask each person to confirm they have read it, and put a quarterly review in the calendar. AI tools change every few months; your policy should change with them.

Your team is already using AI. The only question is whether they are using it with rules you chose or rules they made up. A policy is not bureaucracy. It is the thing that lets you say yes to AI with confidence, and it is the first document a larger client, an insurer or a partner will ask for.

Most AI policies fail because they are twelve pages of legal language nobody reads. Yours will be one page: what is allowed, what is not, what data can be used, what needs approval, and who to ask. You will draft it with Claude from everything you set up in this module, then make it yours.

Key points

  • Your team already uses AI; the policy decides whose rules they follow.
  • One page that people read beats twelve pages nobody does.
  • Describe what is actually enforced, not what you wish.
  • Review it every quarter as the tools change.

Avoid

  • Copying a generic corporate policy that does not match how you work.
  • Writing rules that are not backed by any setting or approval step.
  • Never telling the team the policy exists.
  • Treating the policy as finished forever.
Real-world example: a roofing contractor

A 25-person roofing company had office staff using three different AI tools with no rules, and one estimator had pasted a customer's insurance claim into a free chatbot. The owner drafted a one-page policy with Claude in under an hour: approved tools only, no customer documents in personal accounts, approval for anything sent to insurers, and the office manager as the contact for questions. When a commercial client later asked for their AI policy during a tender, they sent it the same day.

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