AI Code Review Selling to the Director of Platform Engineering — 60-Min Training
Direct Answer
AI Code Review Selling to the Director of Platform Engineering is a 60-minute training for AEs running $30K–$400K ACV cycles against Greptile, CodeRabbit, Qodo, Bito, GitHub Copilot Reviews, GitLab Duo, Sourcery, Snyk Code, Codium, Tabnine. Qualify against Director of Platform Eng + AppSec + CFO, run discovery on FPR + comment quality + language coverage + CI integration.
Built on MEDDPICC.
Section 1 — Why AI Code Review Selling Is Different (5 min)
FPR drives developer trust. Above 20% FPR, devs disable. Comment quality matters more than count.
End with Mark Roberge's rule: *"Sell FPR + comment quality + dev adoption."*
Section 2 — The 60-Minute Discovery (15 min)
- Opening (3 min): "Current PR workflow + AI review tooling?"
- Language + framework mix (10 min): "Python, JS/TS, Go, Java, etc.?"
- FPR baseline (10 min): "<20% best-in-class."
- Integration depth (10 min): "GitHub, GitLab, Bitbucket, Azure DevOps?"
- Dev adoption target (8 min): "70%+ devs reading AI comments."
- Security focus (7 min): "Snyk Code or DeepCode for security-leaning?"
- Renewal posture (5 min): "Existing contracts?"
Section 3 — The Trial That Wins (15 min)
Customer's real PRs reviewed. FPR scorecard mid-trial. Dev adoption tracked.
Section 4 — Handling the Incumbent (10 min)
FPR wedge. Comment quality wedge. Language coverage wedge. CI/CD integration wedge.
Section 5 — Pricing Conversation (10 min)
Per-developer, multi-year discount, no procurement-only.
Section 6 — Renewal Trap-Set Month 12 (5 min)
FPR <20% sustained. Dev adoption 70%+. Language coverage matched stack. Joint Platform Eng dashboard.
FAQ
Greptile or CodeRabbit? Greptile codebase context; CodeRabbit fast PR. Qodo? Test + review. GitHub Copilot Reviews? Bundled with Copilot. Snyk Code for security? Yes. FPR target? <20%; <10% best-in-class.
Sources
- Greptile — Reference
- CodeRabbit — Reference
- Qodo — Reference
- Bito — Reference
- GitHub — Copilot Reviews
- GitLab — Duo
- Sourcery — Reference
- Snyk — DeepCode
- Codium — Reference
- Tabnine — Reference