Chatbot Deployment Checklist

Purpose

Use this checklist to launch an AI community chatbot with clear guardrails, reliable escalation, and measurable outcomes.

How to use

Complete every item before broad rollout and attach evidence for each control (owner, document, or dashboard link).

If any critical item is incomplete, keep the chatbot in pilot mode and run a short tuning cycle.

Launch-readiness checklist

1) Scope and intent readiness

• Top 10-20 member intents are documented from recent support data.
• Out-of-scope intents are explicitly listed.
• Success metrics are defined for response speed, containment, and satisfaction.
• Baseline metrics are captured for pre-launch comparison.

2) Knowledge source quality

• Approved source documents are curated (FAQs, policy docs, onboarding guides, release notes).
• Stale or conflicting content has been removed.
• Each source area has a named owner.
• A source refresh cadence is documented (at least weekly).

3) Safety and governance controls

• Prompt/system instructions enforce policy-safe behavior.
• High-risk topics are on a do-not-answer list.
• Role-based access is configured for bot settings and source edits.
• Audit logging is enabled for prompt/configuration changes.

4) Escalation and human handoff

• Confidence thresholds are configured and tested.
• Escalation routes are mapped by issue type and severity.
• SLA targets are defined for each escalation queue.
• Handoff summaries include intent, attempted steps, and source context.
• Members can clearly request a human moderator.

5) Experience and response quality

• Response style guidelines are defined (tone, clarity, brevity, citation behavior).
• Bot responses link to canonical sources where relevant.
• Unsupported requests trigger a safe decline plus next best action.
• Accessibility and inclusive-language checks are completed.

6) Testing before launch

• Internal test set covers every launch intent.
• Edge-case tests cover policy-sensitive and ambiguous prompts.
• Failures are labeled by root cause (intent classification, content gap, routing, policy).
• Critical defects are resolved or explicitly waived with owner sign-off.

7) Pilot launch controls

• Pilot scope is limited to one channel or member segment.
• Moderator on-call coverage is confirmed during pilot window.
• Real-time monitoring is active for unresolved intents.
• Daily pilot review cadence is scheduled.

8) KPI and reporting setup

• Dashboard tracks first-response time, containment, escalation volume, and sentiment.
• Weekly report template is prepared for stakeholders.
• Demo request attribution is configured for Week 1 KPI measurement.
• Go/no-go criteria are documented for expansion.

9) Go/no-go decision

• Proceed only if first-response time improves versus baseline.
• Proceed only if containment reaches the minimum threshold.
• Proceed only if escalation quality is acceptable to moderators.
• Proceed only if member sentiment is neutral-to-positive.

Benchmark targets before full rollout

Use benchmark-backed thresholds to avoid expanding a weak pilot. Typical launch gates for community support bots are first response under 60 seconds for in-scope intents, containment of at least 35%, and CSAT at or above your human-support baseline during pilot weeks.

Map each threshold to a named owner and dashboard tile so go/no-go decisions are evidence-based rather than anecdotal.

High-risk anti-patterns to stop before launch

If criteria are not met

Run a focused 3-5 day tuning sprint, fix the highest-impact gaps first, and reassess against the same go/no-go criteria before expansion.