Zar Labs
AI chatbot implementation checklist
Last reviewed: 2026-09-28
Executive summary
Ship chatbots that deflect safely: define intents, ground answers, escalate cleanly, log to CRM, and evaluate regressions before widening autonomy.
Pre-launch checklist
- Top intents and out-of-scope rules
- Knowledge sources and refresh owners
- Escalation channels and SLAs
- CRM/ticket field mapping
- Eval set + monitoring dashboard
Pros & cons
Pros
- Reduces launch risk
- Forces ownership
Cons / watch-outs
- Takes discovery time
Comparison
| Phase | Exit criteria |
|---|---|
| Pilot | Top 10 intents pass evals |
| Production | Escalation + logging live |
Frequently asked questions
How long does implementation take?
Focused pilots often take weeks. Multi-channel production systems phase longer. See /services/ai-chatbot-development.
Ready to scope your build?
Share goals, stack constraints, and timeline. We’ll respond with a discovery path and phased estimate.