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Field Guide · level 6 · Advanced and by role

What rules does your team need for AI?

20 min · as of Oct 2026
You will be able to

Agree a one-page set of team AI rules, and know which 2026 laws it touches (not legal advice).

Part of Safe by designTime about 20 minutes, with the try-itChecked 16 Oct 2026

Three things to take away

  1. 1

    Your team is probably using AI already. One page of clear rules beats a long policy nobody reads.

  2. 2

    Seven rules cover it: the tools, what never goes in, when to say AI made it, who checks, what agents may do alone, who to tell, and how skills are kept up.

  3. 3

    Put the agent rules into the tool's settings, not just on paper. A sentence in a brief is not a lock.

As of Oct 2026 · read 16 Oct 2026

In your assistant

Where the team's rules meet the settings, in Claude, ChatGPT and Gemini. From Neosaipien's platform reference, whose every line was read on the vendors' own pages on 16 Oct 2026. On a personal or individual plan there is no admin: each person checks their own settings, and the team keeps the list of tools and connections by hand. On a company plan, ask whoever runs your accounts to show you the settings.

Claude (Team, Enterprise)

  • Connectors. On Team and Enterprise an owner adds a connector first; until then members see "Request". Anthropic says custom connectors connect to services that "haven't been verified by Anthropic", so they belong on the approved list only after someone has checked them. Sources: Anthropic: Connectors overview; Anthropic help page
  • When it asks first. Each connector tool can be set to "Always allow", "Needs approval" or "Blocked". By default, Claude asks before taking an action. Match these to rule 5. Sources: Anthropic: Connectors overview; Anthropic: Cowork is now Claude
  • Memory. On Team and Enterprise, an owner enables memory and each person opts in. Each project has its own memory, and turning off "Use account memory" keeps a project fully separate. Source: Anthropic help page
  • Shared projects. Team and Enterprise can share a project with "Can view" or "Can edit". Share the one checked copy of a template or a brief this way. Source: Anthropic: What are projects
  • The September change. Cowork is now part of ordinary Claude chat; Enterprise admins get at least 30 days' notice before it reaches their organisation. Source: Anthropic: Cowork is now Claude (16 Sep 2026)

ChatGPT (Business, Enterprise)

  • When it asks first. Four permission options for each app: "Always ask", "Allow read actions", "Allow low-risk actions" and "Allow all actions". Match these to rule 5, and keep "Allow all actions" off the approved list. Source: OpenAI: Apps in ChatGPT
  • The right account. Connect your work account for work data, never a personal one. Source: as above.
  • Projects and memory. A project's memory can be "Default memory" or "Project-only memory"; shared projects are always project-only, and Work is not available in project-only projects. Source: OpenAI: Projects in ChatGPT
  • Your own MCP links. Developer mode (beta) lets people add their own; decide under rule 1 whether your team may. It is on Plus and up. Source: OpenAI: Plans

Gemini (Google Workspace)

  • Who controls it. With work and school accounts, the admin controls these features, and chat history is kept 18 months by default. What people get depends on the company's Google Workspace licence. Sources: Google: Gemini Help; Google: Gemini Help
  • Apps. On a work account, the admin decides which apps Gemini may connect to. Source: Google: Gemini Help
  • Personal accounts only, for now. Gemini's agent (Task), custom apps and skills are for personal accounts so far. If people use them for work, they are using a personal account for work, which rule 1 says no to. Sources: Google: Gemini Help; Google: Gemini Help; Google: Gemini Help

Which assistant for the team, and my pick

An honest view (as of Oct 2026): Claude keeps connectors, skills and plugins on one Customize page and asks before acting by default; ChatGPT has a wide set of everyday features, and agent tasks that start when an email or a message arrives; Gemini is the best fit when the company already runs on Google Workspace, but its agent, custom apps and skills are for personal accounts only so far.

My recommendation: Claude first, ChatGPT second, Gemini third.

But for rule 1, a team's own choice matters more than mine: if your company has standardised on one tool, use that tool, and use it for company data only through the company's account.

On your own work · nothing private

Try it (10 minutes)

Draft your team's page. You can do it on paper or in a blank document. If you ask an AI tool to help with the wording, give it only the seven headings, never your team's details.

  1. Copy the seven headings (1 minute). Add "Owner" and "Review date" at the bottom.
  2. Write one line under each (6 minutes), true of your team today. Name roles, not people outside the team, and no client names.
  3. Mark the gaps (1 minute). Put a question mark beside any rule you cannot fill in yet. For rule 5, you may not know what your tools are connected to: that is a question for whoever runs your accounts.
  4. Mark the law (1 minute). Beside rules 3 and 7, and any rule about hiring or staff, write "ask our adviser".
  5. Book it (1 minute). Put 20 minutes in the next team meeting to agree the page.
Three questions · pick one answer each

Check yourself

  1. 1Under the EU AI Act's Article 4 as rewritten in July 2026, what must an organisation that deploys AI do?

    The answer: B The new text says providers and deployers "shall take measures to support" AI literacy, and that it "does not require" them to guarantee any specific level for any individual. Not legal advice.
  2. 2Your team's agent reads incoming customer email and drafts replies. Where should "ask before sending" live?

    The answer: B "Ask first" is set in the tool, not typed in the brief. The UK's NCSC says do not rely on prompting alone. And an agent that reads outside email should not also be free to send without asking.
  3. 3Someone suggests an AI tool that reads staff's emotions on video calls to spot burnout. What does the EU AI Act say?

    The answer: C Article 5(1)(f) bans AI systems that infer emotions in the workplace, with an exception for medical or safety reasons. Whether a tool falls under the exception is a question for your adviser. Not legal advice.
0 of 3 answered
Read the whole lessonThe idea in full, the worked examples, common mistakes and what to check

The idea

Many people already use AI at work without shared rules. In the University of Melbourne's global study with KPMG (more than 48,000 people in 47 countries, surveyed November 2024 to January 2025), 58 percent of employees said they intentionally use AI at work, but only 40 percent said their workplace has a policy or guidance on generative AI use, and almost half admitted to using AI in ways that contravene company policies, including uploading sensitive company information into free public AI tools. These figures come from the university's media release.

Rules matter more now because assistants do work, not just answer. They draft into shared files, read inboxes, connect to your apps and run tasks on a schedule. In 2026 the agent moved next to the chat: inside ordinary Claude, behind ChatGPT's Chat and Work toggle, and beside Gemini's chat as Task. So a team rule about agents is now a rule about the assistant everyone already opens. Anthropic's safety page for Claude Cowork puts the responsibility plainly: "You remain responsible for all actions taken by Claude performed on your behalf" (as of Oct 2026).

Good team rules are short, name a person for each job, and match what the tools are actually set to do. If a rule cannot be followed on a busy Tuesday, it will not be.

An illustration, not a real case: a ten-person team agrees its page in one meeting. The rule that changes most is number 4: every client document now names the person who checked it. The rule that takes longest is number 5, because nobody knew which apps the team's assistant was connected to until someone looked.

The one page: seven rules

1. Approved tools and accounts. List the AI tools the team may use for work, on which plan, and say: work accounts only, never a personal or free account for work. Use the tool your company approves for company data: a personal preference never beats the company's data rules. New AI features inside software you already use count as new tools, and so do new connectors and skills.

2. What never goes in. Write a short never list. A common starting point: personal data, anything a client shared in confidence, passwords and security details, and financial results or prices that are not public yet. Add your own. Say what to do when unsure: leave it out, or ask first.

3. When we say AI made it. Decide when the team tells clients, colleagues or the public that AI did a large part of the work. Where the EU AI Act applies, some disclosure is required by law (see below).

4. The quality bar, and who reviews. Anything AI helped to write or make is checked by a named person before it leaves the team. "The AI did it" is never the answer to "who checked this?"

5. What agents may do without asking. Use four levels: 1 Read, 2 Draft, 3 Ask first, 4 Alone. Most team tasks start at 1 or 2. "Ask first" is set in the tool, not typed in the brief. And outside words, no power: an agent that reads outside content (the web, outside email, files others sent) may not also send, pay or delete without asking. The UK's National Cyber Security Centre says to decide "what actions it should be allowed to take" and "when it should stop and seek human approval", and adds: "do not rely on prompting alone" (20 Aug 2026).

6. Who to tell when something goes wrong. Name one person or channel, and say "the same day". Make sure someone can stop an agent at once: the NCSC says "you should always be able to 'pull the plug'". Say that nobody is blamed for reporting a slip quickly.

7. How we keep our skills up. Agree a short training for everyone who uses AI, a refresher when the tools change, and keep a simple record of what was done. Where the EU AI Act applies, the Commission says an internal record of trainings is enough and no certificate is needed (see below).

Then write two more lines: who owns the page, and the date you will review it. These tools change every month.

What the law says, in plain English

This is plain-English orientation from the official texts, read on 16 Oct 2026. It is not legal advice. Whether a law applies to you depends on where you are, what you do and how you use AI: check with your own adviser.

The EU AI Act

The AI Act (Regulation (EU) 2024/1689) applies, among others, to organisations established or located in the EU that use AI systems, and to organisations outside the EU where the output produced by the AI system is used in the EU (Article 2(1), points (b) and (c)). In the Act, an organisation using an AI system under its authority is a "deployer" (Article 3(4)).

  • AI literacy (Article 4), rewritten in July 2026. Regulation (EU) 2026/1744 (signed 8 Jul 2026, published in the Official Journal on 24 Jul 2026, in force on the third day after publication) replaced the old wording, which asked providers and deployers to take measures to "ensure, to their best extent, a sufficient level of AI literacy". Providers and deployers now "shall take measures to support the development of AI literacy of their staff and other persons dealing with the operation and use of AI systems on their behalf". The new text adds: "This obligation does not require providers or deployers to guarantee any specific level of AI literacy of any individual." The Commission is to publish practical examples of how to comply. Its own Q&A says: "There is no need for a certificate. Organisations can keep an internal record of trainings and/or other guiding initiatives." That is rule 7.
  • Telling people about AI (Article 50), from 2 Aug 2026. A deployer must disclose that image, audio or video it made or changed with AI is artificially generated or manipulated when it is a deep fake. A deployer whose AI generates or manipulates text "published with the purpose of informing the public on matters of public interest" must disclose that too, unless the text "has undergone a process of human review or editorial control" and a person or organisation "holds editorial responsibility for the publication". That is rule 3.
  • Banned at work since 2 Feb 2025 (Article 5(1)(f)). AI systems "to infer emotions of a natural person in the areas of workplace and education institutions", except for medical or safety reasons.
  • Hiring and staff decisions are high risk (Annex III, point 4). That covers AI meant for recruitment or selection, including filtering applications and evaluating candidates, and AI meant to make decisions on terms of work, promotion or termination, "to allocate tasks based on individual behaviour or personal traits or characteristics", or to monitor and evaluate performance and behaviour. The main duties for these systems now apply from 2 Dec 2027 (Regulation (EU) 2026/1744, which moved them from 2 Aug 2026).

Illinois, United States

  • Public Act 103-0804, in effect since 1 Jan 2026. In recruitment, hiring, promotion, discipline, discharge and the other employment decisions it lists, an employer may not "use artificial intelligence that has the effect of subjecting employees to discrimination on the basis of protected classes", or use zip codes as a proxy for them. It must also give notice when it uses AI for those purposes. The state's Department of Human Rights is to set the rules for that notice; its rules page listed none for AI on 16 Oct 2026.

Left out on purpose: Colorado's AI law, because its current start date could not be confirmed on 16 Oct 2026. Other countries' and states' rules are not covered here.

Common mistakes

  • A twenty-page policy. Nobody reads it. Start with one page and link to the detail.
  • Rules nobody can follow. A rule that bans what people need to do gets worked around.
  • Agent rules only in the brief. Set "Ask first" and the blocked actions in the tool.
  • No names. "Someone checks it" means nobody does. Name the role.
  • Forgetting the AI already inside your software, and meeting note-takers.
  • Blaming the person who reports a slip. Then the next one is hidden.
  • Treating the law section as legal advice, or copying another country's rules as if they were yours.
  • No review date. The tools change every month, and so do their defaults.

What to check before you trust it

Whether the page came from a template, a colleague or an AI tool:

  • Every law line was read from the official text, with the date, and your adviser has looked at it.
  • If an AI tool drafted any of it, every legal claim has been checked at its source. Quotes and links can be invented too.
  • The tool settings match the page: open the admin settings and look.
  • Every rule names a role.
  • Someone new to the team can read it in two minutes and know what to do.
  • It has an owner and a review date.

Check it. Rule 4: a named person checks anything AI helped to make before it leaves the team.

Keep it safe. Rule 5 in the tool, not on paper: outside words, no power.

Checked against · read 16 Oct 2026Every claim, its source and the date read

As of: product steps as they were on the vendors' own pages on 16 Oct 2026.

Every product name, setting and step above comes from Neosaipien's platform reference, checked on the vendor pages below on 16 Oct 2026; every law line was read on its official site that day.

Not legal advice. This lesson gives plain-English orientation from the official texts only; check your own situation with your adviser. The illustration in this lesson is made up. Neosaipien is not affiliated with Anthropic, OpenAI or Google.

Where next

Next lesson · level 6 · 20 min

Why don't better AI tools alone change results, and what should a manager do?

Explain why the organisation moves results more than the tools do, and take five manager actions: use AI in the open, redesign a few workflows, say what to do with time saved, set the rules, and measure outcomes.

Open the next lesson
The kit · free download

The Team AI Policy Kit. A policy, a one-page staff guide, a 30-day plan and a short deck to announce it, plus a record of AI training, a tools and connections register, request and sign-off forms, a caution page on AI in hiring and a filled-in example. A starting template, not legal advice.

Next step for the organisation: The AI Rollout Plan (30-60-90 days). These rules are its first 30 days.

Bring this to your team

The Leadership briefing, for your leadership team, or AI implementation: AI put to work inside the tools you already run.

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