AI governance for a revenue team should make useful work safer, not turn every experiment into a policy debate.
The practical job is to decide which uses are allowed, what data may enter a tool, who approves customer-facing material, how errors are reported, and when a use case should stop.
The first version can be short. It needs to be specific enough that a marketer or seller can make a good decision during ordinary work. A policy that only a specialist can interpret will be bypassed when the deadline is real.
Create a use-case inventory
List the current and proposed uses: research summaries, internal notes, content drafts, customer email drafts, lead prioritization, meeting summaries, support intake, and reporting assistance.
For each, identify the user, intended output, audience, input data, human reviewer, and what could go wrong.
Classify work by consequence rather than by whether it sounds technical. A public blog draft, a pricing explanation, and an internal outline may use similar tools but require different controls.
The inventory gives leaders a way to approve, limit, or pause a use without guessing what people are doing.
Set rules for inputs and customer data
Define which types of information can be entered into approved tools and which require a different route or explicit authorization.
Include personal data, account information, contracts, pricing, credentials, support transcripts, source code, and internal plans. State where users can find the current rule and who answers edge cases.
Use the minimum information needed for the task. A writing assistant may need an approved product brief, not a complete customer export. A summary may need selected notes, not an unrestricted conversation history.
Reducing unnecessary input also makes the output easier for a reviewer to verify.
Keep approvals tied to consequences
Define who checks factual claims, brand language, privacy concerns, technical statements, and customer commitments before an output is published or sent.
The sender or publisher should be able to identify the approved version and the evidence behind material claims. Silence in a shared document is not approval.
Set an escalation path for sensitive outputs such as legal, security, accessibility, pricing, employment, or financial statements. The tool may help organize the case, but the designated owner makes the decision.
This boundary protects users from assuming the system has authority it does not possess.
Monitor, learn, and respond to incidents
Governance has to survive normal work
Maintain a simple route for reporting an inaccurate, inappropriate, or exposed output. Record what happened, affected audience, input source, tool or workflow, immediate containment, owner, and follow-up.
The aim is to correct the situation and improve the rule, not to make people hide mistakes.
Review the inventory and policy on a regular schedule and after material vendor, product, or process changes. Good governance stays close to the work.
It gives teams a documented way to keep useful assistance while making limits, responsibility, and remediation visible.
Use consequence tiers, not one approval queue
Sort use cases by what happens if the output is wrong or exposed. An internal outline based on public material does not need the same review as a customer commitment, account decision, or message built from restricted data.
Tie each tier to concrete controls: allowed inputs, reviewer role, logging, testing, monitoring, and authority to pause. The category matters only if it changes how work is handled.
Record who assigned the tier and what would trigger reassessment. A connected data source or automated action can change the consequence without changing the task name.
- Low consequence: internal ideation with approved, non-sensitive sources and no automatic action.
- Moderate consequence: drafts or analysis that inform work but require a named reviewer.
- High consequence: customer-facing, sensitive, regulated, eligibility, pricing, or commitment-related use.
- Prohibited or paused: tasks the team cannot safely source, review, explain, or contain.
A policy should answer a Tuesday-afternoon question
Test the rules with ordinary situations: pasting a call note, summarizing a proposal, drafting a claim, connecting a mailbox, or trying a browser extension.
If a person cannot find the answer quickly, the policy needs examples or a clearer help route.
