Automation and AI
Design CRM automation and AI safely without spreading bad data faster.
CRM automation should reduce repeated work and prevent missed signals. AI adds classification, summarization, recommendation, and drafting. Without operating rules, it also spreads mistakes faster.
Automation Candidates
| Automation | Trigger | Action |
|---|---|---|
| Lead routing | New lead | Assign by segment, region, or product |
| Follow-up reminder | SLA approaching | Notify owner or escalate |
| Onboarding start | Contract completed | Create kickoff tasks and welcome email |
| Risk detection | Usage decline or ticket increase | Add risk tag and recovery playbook |
| Campaign branch | Segment changes | Send tailored message or exclude |
| Meeting summary | Meeting ends | Write summary, next action, and activity record |
AI Use Cases
| Area | AI is useful for | Guardrail |
|---|---|---|
| Classification | Topic, fit, sentiment, risk | Criteria must be explicit |
| Summary | Meetings, calls, tickets | Link to source and review state |
| Recommendation | Next action, campaign, upsell candidate | Human owner remains accountable |
| Drafting | Email, QBR, proposal draft | Review before customer delivery |
| Prediction | Churn risk, purchase intent, LTV | Track data quality and explainability |
Approval Levels
| Level | Scope |
|---|---|
| Suggest | AI recommends; human executes |
| Draft | AI drafts; human approves |
| Execute with guardrails | Low-risk work runs automatically; exceptions are reviewed |
| Fully automated | Proven repeated work runs without human review |
Start with Suggest and Draft. Customer-facing messages, pricing, contracts, and consent changes
should keep explicit human approval.
Automation Checklist
- The trigger is clear and cannot run twice accidentally.
- Customer-visible actions and internal actions are separated.
- Failed automation creates a visible alert.
- Consent and unsubscribe rules are respected.
- AI-generated values are distinguishable from human-confirmed values.
- The automation has a success metric.
Automation Paradox
When data quality is low, automation makes operations faster and errors faster. Lock down required fields, stages, and exceptions before expanding automation.