Quick Answer
For search, voice, and "just tell me what to do".
Summarize your best sales calls, extract the winning talk track, then build scripts and role-play prompts you can reuse across the team.
Key Takeaways:
- Scripts are sequences, not paragraphs.
- Great calls are about diagnosing, not persuading.
- AI can extract repeatable patterns at scale.
- Keep scripts flexible: questions + options + proof.
Playbook
Collect 10–20 top-performing call recordings or notes.
Transcribe and ask AI to extract: opening, discovery questions, objection responses, close.
Turn output into a script: stages + questions + proof assets + CTAs.
Role-play with AI as a skeptical prospect.
Iterate after every 5 calls; save improvements.
Common Pitfalls
- Using scripts to talk more instead of ask better questions.
- Forgetting proof assets (case studies, demos) at key moments.
- Treating one call type as universal across offers.
Metrics to Track
Close rate
Time-to-close
Objection frequency
Call-to-next-step rate
FAQ
Do scripts make calls feel unnatural?
Not if scripts are question-led. A good script is a diagnosis framework and a proof map, not a memorized monologue.
How do I give AI sales call data safely?
Redact sensitive info and focus on patterns: objections, questions, outcomes. Store transcripts securely and avoid sharing private details broadly.
What's the fastest improvement lever?
Discovery. Better questions surface the real objection earlier and make your solution feel inevitable instead of pushy.
Related Reading
Next: browse the hub or explore AI Operations.