A practical guide from DigiMartrix. Use it to frame the decision, make trade-offs visible and choose a next step that fits your context.
Start with the support job
Collect common customer questions and the approved answers, then group them by intent. Decide which requests are informational, which require an account-specific lookup and which must go to a person. This scope determines whether a guided help flow, retrieval-based assistant or connected workflow is appropriate.
Ground answers in owned information
Keep a reviewed knowledge source with an owner and a refresh date. Retrieve relevant passages at answer time and make the system say when the source does not support an answer. Test whether it can find the right material, not just whether its reply sounds fluent.
Separate conversation from action
A helpful answer does not automatically need permission to change a record, send a message or issue a refund. Expose narrow tools only for approved tasks. Validate inputs and identity on the server, and request explicit confirmation before consequential actions.
Make escalation a first-class path
Tell the visitor when a person is needed, preserve the relevant context with consent, and offer a clear contact route. If the system cannot reach its service, explain the limitation and provide the same fallback rather than inventing an answer.
Evaluate the whole visitor journey
Build test questions from actual support needs, including ambiguous requests, outdated information, prompt injection, personal data and service failures. Review groundedness, correct refusal, escalation, task completion, latency and cost before expanding use.
Operate it responsibly
Publish what the assistant can do, what information it processes and how to reach a person. Monitor content freshness and failure patterns. Give staff a way to flag bad answers and feed reviewed corrections back into the knowledge source.