How to use employer-approved AI at work

The short answer

Use the AI tool and account your employer authorizes for your task. Confirm what information you may provide, start with a small amount of permitted context, and ask for a draft you can check against the original evidence. You can begin without connecting email or chat. Keep decisions, approvals and sending with you.

If you lead a team, manage competing deadlines or spend your evenings remembering everyone else’s requests, a useful starting point is one reviewable page of work. You do not need to hand over your inbox to test whether AI can help you organize it.

1. Check your employer’s AI policy before adding work information

An AI product being available does not mean your employer approves every use of it. Confirm the specific account or workspace, the permitted task, and any restrictions on the information involved.

Before starting, establish:

• Which tool and account to use. A personal account is not interchangeable with an approved workplace account.
• Which information is permitted. Check the rules for internal, confidential, customer and employee information.
• Which features are allowed. File uploads, web search and connected apps may have separate requirements.
• Where drafts may be saved. Follow your organization’s access, sharing and retention rules.

If the policy is unclear, ask the designated IT, security or AI-policy contact. Until you have an answer, practice with entirely fictional material rather than real company information.

2. Understand the protection your approved account provides

Provider documentation can help explain a product’s data handling. It does not replace your employer’s permission.

For example, Microsoft says prompts, responses and Microsoft Graph data in Microsoft 365 Copilot and Copilot Chat are not used to train foundation models. Its documentation also identifies different treatment for web-search queries and directs users to check agents’ terms. Check the scope rather than assuming every feature has identical protections. Microsoft enterprise data protection

OpenAI says it does not train on business data by default for its covered business products, including ChatGPT Business and Enterprise. It also describes organizational controls and circumstances involving data access. “Not used for training” should not be read as “never stored” or “visible only to me.” OpenAI enterprise privacy

Use the documentation for your actual product and ask your employer which settings and uses it authorizes.

3. Start manually with the minimum permitted context

For a first exercise, choose one small task: preparing tomorrow’s priorities, organizing an update or outlining a meeting brief.

Supply only information your company permits in that tool. A short, manually prepared list may be enough:

• The goal you are working toward.
• The tasks that affect that goal.
• Confirmed deadlines and owners.
• Dependencies or decisions still outstanding.
• Any uncertainty the draft must preserve.

These exercises do not require an email or chat connection. The AI can only work from the material you supply and any other sources it is authorized and able to access; a manually supplied list will not reveal work you left out.

Removing names does not automatically make confidential material acceptable to share. When uncertain, use a fictional scenario or wait for guidance.

4. Turn a task list into priorities you can defend

A useful priority view separates urgency from importance. For each item, include the outcome, the next action, the owner, the confirmed deadline and what is blocking progress.

Consider this fictional situation: a director has a presentation next week, a routine report tomorrow and an unresolved dependency needed for a recommendation. An AI draft might put the report first because its deadline is closest. The director may decide that resolving the dependency matters more because another team needs time to respond.

Review the proposed order against your goals and commitments. Correct invented deadlines, missing dependencies and assumptions about who owns the work. Keep uncertain dates marked as uncertain. AI can help organize the trade-offs; you remain responsible for choosing them.

5. Record accomplishments with evidence, not inflated language

When work is moving quickly, it is easy to remember the activity and lose the result. Keep a simple accomplishment record containing:

• The date and result.
• Your specific contribution and collaborators’ contributions.
• The goal the work supported.
• The source that verifies the claim.
• Any qualification or remaining uncertainty.

Let AI help structure the record, but check every claim. A draft should not turn “prepared a proposal” into “delivered savings,” or take sole credit for a shared result. If a number has not been validated, label it as an estimate or leave it out. Preserve source references only where your organization allows them.

6. Review every output before using it

Before you rely on a draft, check five things:

1. Facts: Do names, dates, figures and references match the source?
2. Judgment: Does the recommendation fit your actual priorities?
3. Permission: May this information be shared with this audience?
4. Voice: Does the wording sound like you and reflect your intent?
5. Action: Have you personally approved the commitments and next steps?

Save the reviewed version in an approved location. Edit and send messages yourself. Treat missing evidence as a reason to investigate, not an invitation to fill the gap with confident wording.

Where does Stridelle fit?

Stridelle’s free Starter Kit provides a guided starting point in PDF and editable Word formats for use with your existing company-approved AI. Your work stays in your approved tools; do not send company information to Stridelle.

Explore the fictional examples to see the kinds of pages and drafts you could build, or get the free Starter Kit. Available features depend on your employer’s tools and permissions. You review the work and decide what happens next.