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We rolled out Copilot. Sales asked it for a 25% discount. Policy allows ten.

A company deploying Microsoft Copilot for its sales team discovered that the AI could generate emails offering discounts exceeding policy limits, such as a 25% discount when leadership caps discretionary offers at 10%. The incident highlighted that prompt guidelines and acceptable-use policies are insufficient without enforcement at the action level. The company is piloting AgentGovernance as a control layer to intercept, enforce, and audit AI actions across systems like M365 and CRM.

read2 min views1 publishedJun 30, 2026

Our sales team got Copilot in January. By February someone almost sent a 25% discount email when leadership caps discretionary offers at 10%.

I'm not on an AI platform team. I'm the person who gets cc'd when IT, legal, and sales leadership all want "Copilot" and "controls" in the same sentence.

An account rep typed something like: Follow up with John at Acme — offer 25% off next quarter if they renew early.

Copilot drafted a good email. Professional tone. Correct product names. It also updated the opportunity in Salesforce.

Nobody on the thread was trying to bypass policy. The model doesn't know your promo calendar. It optimizes for the instruction in the chat window — and that instruction is not authorization.

We caught it because the rep still sends most mail manually. Next quarter half the team won't.

We already had an acceptable-use doc. We ran a webinar. People still move fast on quarter-end.

Prompt guidelines fail at the moment of send — same way "double-check your expense report" fails without a manager approval rule in the system.

What we needed:

Not a better system prompt. Not "always review AI output." Enforcement.

Microsoft Purview and Business Premium give you sensitivity labels, DLP on generated content, eDiscovery on Copilot interactions. Worth having.

They don't answer: Can Copilot commit a discount in Salesforce and email the customer in one flow without a manager?

That action crosses M365 and your CRM. Governance has to sit where actions happen — not only where documents live.

No custom model. No "AI team." Three rules the ops lead already understood.

We're piloting AgentGovernance as the control layer between Copilot/ChatGPT and the systems they reach — intercept, enforce, audit. The demo walks through the discount-above-policy case with a live approval queue.

You don't need to become AI experts. You need the same discipline you use for refunds and vendor payments:

Start with one department and one threshold. Measure for a month. Expand.

Full guide: [Retail Copilot AI governance](https://agentgovern.ai/retail-copilot-ai-governance)

Early access — [agentgovern.ai](https://agentgovern.ai) · [interactive demo](https://agentgovern.ai/agent-governance-demo)
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