Posts · #ai-for-sales #sales-system #playbook
AI sales playbook
HERO
AI sales playbook
One-line value: A practical end‑to‑end playbook for using AI across prospecting, outreach, qualification, follow‑up, and CRM hygiene.
When to use: Use this page when you need to execute this workflow in one focused session.
QUICK RESULT
If you only do one thing → complete the first checklist pass and publish one usable draft/output today.
ACTION CHECKLIST
- [ ] Clarify the exact output and success metric before starting.
- [ ] Gather required inputs from one trusted source only.
- [ ] Execute the workflow in sequence without adding side tasks.
- [ ] Run one quality check and fix the highest-risk issue first.
- [ ] Save the final result with a short reuse note.
EXAMPLE / DEMO
Before: Notes are scattered and decisions are unclear.
After: Inputs are structured, steps are executed, and the output is ready to use immediately.
WHY IT WORKS
- Converts vague intent into an explicit sequence.
- Emphasizes shipping one validated result fast.
- Creates repeatability for future runs.
NEXT ACTION
- Run this checklist on one live task now; keep scope to a single measurable outcome.
Source notes (kept for context)
Why a playbook matters
Most teams experiment with AI in isolated tasks.
A playbook connects tasks into a repeatable flow.
Typical fragmentation:
- research done in one tool
- outreach drafted somewhere else
- CRM updated inconsistently
- follow‑ups forgotten
A playbook solves coordination.
Core pipeline
The minimum AI‑assisted pipeline:
- lead discovery
- prospect research
- qualification
- outreach
- follow‑up
- CRM hygiene
Each stage has a clear output.
Lead discovery
Goal: find companies matching ICP.
Common signals:
- hiring patterns
- product launches
- funding events
- tech stack changes
AI helps summarise signals quickly.
Prospect research
Focus only on:
- company context
- role relevance
- probable pain point
- reachable channel
See also:
- /posts/2026-03-12-minimum-viable-prospect-research/
Qualification
Use a small scoring model:
- ICP fit
- pain relevance
- contact quality
- urgency signals
Routing decisions:
- pursue
- nurture
- skip
Outreach
Angle before personalization.
Reference:
- /posts/2026-03-12-outreach-angle-before-personalization/
Follow‑up
Most deals die here.
Reference:
- /posts/2026-03-12-follow-up-without-being-annoying/
CRM hygiene
Capture only operational facts:
- last action
- next action
- stage
- note
This keeps the system usable.
Related
- /posts/2026-03-12-build-ai-sales-system-from-zero/
- /hubs/ai-for-sales/