E-commerce AI Service Acceptance: Seven Diagnostic Questions and Operating Checks

Choose a service task

Select shipment lookup, policy explanation or reviewed order preparation. Define users, sources, permitted actions and completion. Check answer quality and whether the task works in operation; demonstrations and operating acceptance provide complementary evidence.

Use these seven questions on representative cases in the selected system, rather than assuming every platform has the same defect.

1. Does phrasing map to the task?

Include typos, informal wording, missing information and multiple requests. "Where's my stuff?" is a test prompt, not a verified customer record. Check necessary clarification alongside clean scripts.

2. Does someone receive the handover?

Establish service hours, queue owner, required information and acknowledgement. When nobody is available, use the existing disposition. Clicking transfer differs from receipt or resolution; assess repeated requests for the same information.

3. Is context scoped to the work?

Define necessary information, expiry/deletion and separation among users, orders and conversations. Test corrections and interruptions without requiring unrestricted history retention.

Intercom's connector FAQ documents configured multi-step procedures and API reads/updates for one SaaS product. A category label does not settle capability. This does not establish persistent memory or acceptance for this task.

4. Are sources applicable and checkable?

Record policy, promotion and status versions, applicable periods and source timestamps. Refer missing, withdrawn or conflicting evidence. Microsoft's indexer scheduling documentation distinguishes change, processing and search visibility. Backend connection does not establish current correctness.

5. Do complaints reach an authorized path?

Distinguish information, action requests and disputes needing staff, with authority assigned. Order, monetary and return decisions need identity, applicable policy and server-side rules. Generated wording or retrieved text cannot alone authorize execution.

Intercom's API design guidance discusses identity, risk, minimum data and backend logic. It is vendor guidance, not refund permission.

6. Can mobile users complete existing tasks?

Test supported screens, keyboard and orientations for obstruction and return to the task. Record reproducible conditions. Potential obstruction is not measured order loss or conversion improvement.

7. Who reviews diagnostics and failures?

Assign an owner using approved, necessary records for refusal, errors, handover and incomplete work. Establish retention/access. The Taiwan PDPA provides purpose/necessity boundaries; stored transcripts do not grant unrestricted reuse.

Combine demonstration and operating evidence

Define eligible-user/task denominators and periods for usage. Resolution, stopped contact and transfer differ. Interpret complaint counts with service volume/type. A chat acknowledgement is not an order change or completed checkout.

Models, data, integration and operation can each contribute to failure. NIST AI RMF (January 26, 2023) supports contextual evaluation, not architecture guarantees. A PoC does not establish sustained use/quality; expand against agreed acceptance and operating responsibility.

Sources reviewed October 4, 2026. Intercom's API guide is dated June 15, 2026; the FAQ's relative label does not establish an exact date. Microsoft's page was updated July 8, 2026.

See the service procurement comparison or define the first task through the retail solution.