AI Customer Support Selling to the VP of Customer Experience — 60-Min Training
Direct Answer
AI Customer Support Selling to the VP of Customer Experience is a 60-minute training for AEs running $50K–$2M ACV cycles against Intercom Fin, Zendesk AI, Sierra, Decagon, Forethought, Ada, Lorikeet, Devrev. Qualify against VP CX + Director of Support + CFO, run discovery on auto-resolution + CSAT preservation + AHT reduction + integration.
Built on MEDDPICC.
Section 1 — Why AI Customer Support Selling Is Different (5 min)
Auto-resolution rate + CSAT preservation define value. Above 70% auto-res with 4.0+ CSAT.
End with Mark Roberge's rule: *"Sell auto-resolution + CSAT."*
Section 2 — The 60-Minute Discovery (15 min)
- Opening (3 min): "Current ticket workflow + CSAT?"
- Volume + channel mix (10 min): "Email, chat, SMS, WhatsApp, voice?"
- Auto-resolution baseline (10 min): "Current % resolved without human?"
- CSAT baseline (10 min): "Above 4.0 best-in-class."
- ITSM/CRM integration (8 min): "Zendesk, Intercom, Salesforce."
- AHT reduction (7 min): "Human-assisted ticket time."
- Renewal posture (5 min): "Existing contracts?"
Section 3 — The Trial That Wins (15 min)
Customer's real tickets routed through AI. Auto-resolution + CSAT scorecards. Channel coverage demo.
Section 4 — Handling the Incumbent (10 min)
Auto-resolution wedge. CSAT preservation wedge. Channel coverage wedge. Integration depth wedge.
Section 5 — Pricing Conversation (10 min)
Per-resolution or per-seat, multi-year discount, no procurement-only.
Section 6 — Renewal Trap-Set Month 12 (5 min)
Auto-resolution 50%+ within 6 months. CSAT above 4.0 sustained. Channel + integration deep. Joint CX dashboard.
FAQ
Intercom Fin or Zendesk AI? Match existing platform. Sierra for enterprise? Yes. Decagon competitive? Yes. Voice channel? Cresta, ASAPP lead voice. Multilingual? Ada, Decagon strong.
Sources
- Intercom — Fin Reference
- Zendesk — AI Reference
- Sierra — Reference
- Decagon — Reference
- Forethought — Reference
- Ada — Reference
- Lorikeet — Reference
- Cresta — Reference
- ASAPP — Reference
- Force Management — MEDDPICC