Employees ask Joy plain questions about your AI-use policy — which tools are approved, what data they can paste, when to disclose AI-assisted work — and get grounded answers with the exact policy section cited.
Using our AI governance policy in the Knowledge Center, answer this in plain language, tell me the rule and why, point me to an approved alternative if there is one, and cite the exact policy section: [question, e.g., can I paste customer data into ChatGPT to summarize a support thread?]
An illustrative example. Your output will reflect your own sources, data, and prompts.
Pulled from the AI Acceptable-Use Policy in your Knowledge Center. The short version is no for a personal ChatGPT account, but there are two approved ways to get the same summary, and I’ve cited the sections so you can check them yourself.
Short answer: no, not into the public version of ChatGPT. A support thread contains Confidential — Customer Data, and Section 4.2 of the AI Acceptable-Use Policy allows that tier only in tools covered by a signed data-processing agreement. A personal or free ChatGPT account isn’t one of them.
The reason is where the text ends up. Anything pasted into consumer ChatGPT leaves our tenant, and under its consumer terms that content can be retained and used to improve the model — so a customer’s name, account details, or ticket history could sit outside our control. Our approved tools carry an agreement that turns training off and keeps the data in our environment (Section 4.1, “Why the tool matters more than the prompt”).
Two approved ways to get the same summary:
If you only need the shape of the reply and not the specifics, there’s a third option: strip the names, emails, and account numbers first. Once the identifiers are gone the thread drops to Tier 1, which any approved tool can handle.
The one thing to avoid is pasting the raw thread into a personal ChatGPT, Claude, or Gemini account to move faster — that’s the exact case Section 4.2 prohibits, and if customer data was involved it’s reportable under Section 6.1.
Want me to summarize the thread right here if you paste it in, or pull up the full Approved Tools list so you can see which tool fits which data type?
AI Governance Policy Q&A lets anyone ask Joy a plain question — which tools are approved, what data is safe to paste, when to disclose AI-assisted work, how to request a new tool — and get a grounded answer that names the rule, the reason behind it, and the approved way to do what they were trying to do. Every answer cites the exact section of your AI governance policy.
Load your AI acceptable-use policy, approved-tools list, data-classification guide, and disclosure rules into the Knowledge Center. Joy reads them so every answer is grounded in your own governance docs and stays current as they change.
Tell people where to ask and set the ground rules: which policy version is current, how data is classified, and where a new-tool request goes. Joy answers from those sources only, never from the open internet.
Questions arrive in plain language: “Can I paste customer data into ChatGPT?” or “Do I need to disclose that AI helped write this report?” — answered in seconds.
Routine questions get an instant answer that names the rule, the reason, the approved alternative, and the exact policy section. When the policy is silent, Joy says so and assembles the question so you can add a ruling.
Save this ask as a custom command on the assistant your team already uses, so anyone can run it in one step.
Every answer links to the specific clause of your AI policy, so employees can verify the rule and you can trust what is being said.
Not just a yes or no. Joy names the approved tool or the safe alternative, so people can finish the task the right way.
Answers reflect your data tiers, so “can I paste this?” gets an answer that depends on what the data actually is.
Ask Joy which questions come up most to find the parts of the policy that are unclear, missing, or quietly being worked around.
Center it on how to request a new AI tool: who approves it, what review it needs, and how long it takes.
Answer when and how to disclose AI-assisted work in code, content, and client deliverables.
Focus on the question people ask most: what can and cannot go into an AI tool, by data type.
Handle different rules by region or business unit, so answers match the policy that applies to the person asking.
An AI governance policy assistant answers employee questions about your organization's AI-use rules — which tools are approved, what data is safe to paste, and when to disclose AI-assisted work. It is grounded in your own governance documents and cites the exact policy section, so people get a consistent answer instead of guessing or asking around.
Yes. Employees ask Joy in plain language and get an answer drawn from your approved-tools list and acceptable-use policy, with the section cited. Instead of digging through a long document or messaging the security team, they can check what is allowed before they act.
Most risky use happens because the rule was unclear or hard to find, so people paste first and ask later. Making the policy answer plain questions on demand — with the reason behind each rule and an approved alternative — gives people a fast, safe path, so they are more likely to reach for the sanctioned tool than a personal account.
Yes. Each answer names the rule, explains why it exists (for example, where the data goes and whether it can be used for model training), and points to the approved way to get the task done. People follow rules they understand, and the reasoning helps them apply the policy to cases it does not spell out.
Common ones include which AI tools are approved, what data may or may not be pasted into them, when and how to disclose AI-assisted work, how to request a new tool, and how the rules differ by data type or region. It answers anything covered in your governance documents, and flags a genuinely new situation so a human can rule on it.
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