A useful AI agent use case is not simply a task that takes time. It has variable steps that benefit from runtime decisions, accessible evidence and a safe way to stop. Start with selection criteria before collecting examples.
Score the candidate, not the excitement
Rate each factor from 0 to 2:
| Factor | 0 | 2 |
|---|---|---|
| Path variability | Same steps every time | Next step depends on findings |
| Measurable value | Vague convenience | Time, quality or revenue baseline exists |
| Reversibility | Error is hard to undo | Output is a draft or easily rolled back |
| Evidence | Decisions cannot be checked | Sources and tool results can be logged |
| Ownership | No accountable team | Named owner can review and maintain |
Reject any pilot with no owner or no safe rollback, regardless of the total score.
Strong early use cases
Research preparation
An agent can search an approved source set, collect passages and draft a brief. A person approves conclusions. Value is measurable through research time and evidence coverage; the output is reversible.
Support triage and drafting
The agent classifies requests, retrieves approved policy and drafts a reply. Billing, safety and account actions escalate. The pilot should not send messages automatically.
Sales account preparation
The agent gathers permitted public information, attaches sources and drafts questions for a salesperson. It must not invent buying intent or contact people. Measure preparation time and correction rate.
Operations exception review
The agent identifies records that break a known rule and prepares an evidence packet. A process owner decides the correction. This works when the records are accessible and the policy is explicit.
Weak first pilots
Avoid tasks with unclear success, unavailable ground truth, broad system permissions or irreversible external action. “Run our marketing” and “manage all customer accounts” are ambitions, not bounded use cases.
Define the pilot before purchase
Choose one queue, one owner and one action the agent is prohibited from taking. Record the baseline, expected improvement, review cost and failure threshold. Run in draft-only mode until representative and adversarial cases are understood.
Frequently asked questions
Which use case has the highest ROI?
There is no universal answer. ROI depends on current volume, baseline cost, error consequence and review effort. Measure your process instead of borrowing another company’s percentage.
Should the first use case contact customers?
Usually not automatically. Drafting with human approval gives you evidence about quality before external consequences are introduced.
When is a fixed automation better?
When inputs are structured, rules are stable and the next step does not depend on interpretation. Use the simpler system.