A production chatbot is five components — grounding, conversation state, escalation, integration, and evaluation — and the demo-to-disaster gap lives
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Answers must come from your documents via retrieval, with citations and an engineered 'I don't know' path. Ungrounded bots improvise policy — the single most common chatbot failure.
Multi-turn context, slot-filling for structured tasks (bookings, lookups), and session handoff so users never repeat themselves to the human who takes over.
Confidence thresholds, frustration signals, and clean handoff with transcript and context. Bots that trap users are net-negative; deflection metrics must count only resolved conversations.
Order lookups and account actions come from governed APIs, never model guesses; accuracy and resolution rates are measured on real transcripts before and after launch.
Skipping the discipline this article describes until an incident, audit, or stalled project forces it — every practice above is cheaper adopted early than retrofitted under pressure.
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