AI Customer Assistant for Service Businesses
Concept for an on-site assistant that answers common questions and routes visitors to contact using approved business copy — not open-ended claims.
Challenge
Visitors ask variations of the same questions (pricing shape, areas served, lead times). Static FAQ pages go stale; ad-hoc chat widgets often hallucinate or speak outside brand voice.
Approach
Anchor responses to an explicit corpus: FAQs, approved service bullets, policies the business confirms. Responses cite or paraphrase that corpus only; unknown questions escalate to human contact. Design the transcript UX with visible escalation, session limits, and a content refresh workflow so operators know what text the model reads.
Outcome
Defines a guarded assistant behaviour: helpful within scope, constrained where data is incomplete, conservative on commitments (pricing, timelines) unless scripted.
Capabilities
- Retriever-first answers over curated content
- Escalation and handoff UX to human-led next steps
- Operator-facing outline for corpus updates and approvals
Stack
- Managed LLM API (conceptual)
- Vector or keyword retrieval over authored snippets
- Chat UI embedding pattern
Proof points
- Draft refusal and escalation taxonomy (illustrative, not deployed policy).
- Session logging outline for audit by the business owner (design artefact only).