finnUse cases
Five useful ways employees can work with AI today.
A practical starting point for research, drafts, analysis, and recurring reviews inside the business.
Employees do not need to begin with a company-wide transformation. They need a useful job, relevant information, and a way to review the result. These examples show where an AI workspace can help while keeping the employee involved in the decision.
1. Prepare for an account conversation.
Ask for a summary of accessible customer records, recent requests, and open issues. Specify the account and the time period. Check the sources before treating the summary as a complete history.
The result should identify unresolved questions rather than fill gaps with plausible details. Use it to prepare for a conversation, not to replace current confirmation of a customer’s needs.
2. Compare documents. 3. Draft a response.
Compare two versions of an operating procedure and ask which steps changed. Keep the original documents available so the owner can inspect the differences. The output can support review without declaring the new policy approved.
For a customer response, give the agent the relevant facts and desired outcome. Review the wording, recipient, and any promise before sending. A useful draft saves preparation time while leaving the final business commitment explicit.
4. Create a small decision tool.
A simple calculator can help compare quantities, rates, or staffing assumptions. Require visible inputs, clear units, and an explanation of the calculation. Test an ordinary case and a boundary case before relying on it.
Treat generated artifacts as reviewable work. A convincing interface does not establish that its formula or assumptions are correct. The person using it should know its intended scope.
5. Turn a useful review into a recurring Task.
Once a manual review is dependable, define its schedule, record scope, output destination, and approval rules. For example, prepare a weekly list of unresolved customer requests for the responsible manager.
Finn brings conversations, artifacts, and Tasks into the workspace. Start with one of these jobs using supported connections, review the output, and refine it with the team before expanding its scope.