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Computer Vision API Selling to the ML Platform Lead — 60-Min Training

👁 0 views📖 329 words⏱ 1 min read5/31/2026

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Computer Vision API Selling to the ML Platform Lead is a 60-minute training for AEs running $30K–$500K ACV cycles against AWS Rekognition, Azure AI Vision, Google Vision AI, Roboflow, Clarifai. Qualify against ML Platform Lead + Product Eng + CISO, run discovery on pre-trained catalog + edge deployment + multimodal LLM integration.

Built on MEDDPICC.


Section 1 — Why CV API Selling Is Different (5 min)

CV API competes on catalog breadth + latency + edge support + multimodal integration.

End with Mark Roberge's rule: *"Sell time-to-first-production-vision-feature."*


Section 2 — The 60-Minute Discovery (15 min)

  1. Opening (3 min): "Current vision workloads and provider?"
  2. Use cases (10 min): "Face, object, OCR, segmentation, content moderation?"
  3. Volume baseline (10 min): "Monthly API calls?"
  4. Latency requirement (10 min): "Real-time vs batch? Sub-200ms real-time."
  5. Edge deployment (8 min): "Industrial or retail edge needs?"
  6. Multimodal LLM (7 min): "Vision + Claude/GPT-5/Gemini integration?"
  7. Renewal posture (5 min): "Existing contracts?"
flowchart TD A[AE Discovery] --> B[Pre-Brief] B --> C{ML + Product + CISO?} C -->|No| D[Reschedule] C -->|Yes| E[Use Cases + Volume 20 min] E --> F[Latency + Edge 18 min] F --> G[Multimodal + Renewal 12 min] G --> H[POC 5 Days]

Section 3 — The POC That Wins (15 min)

Customer's real images sample. Latency benchmark side-by-side. Multimodal LLM integration demo.


Section 4 — Handling the Incumbent (10 min)

Catalog breadth wedge. Edge deployment wedge. Multimodal LLM wedge.


Section 5 — Pricing Conversation (10 min)

Per-image, volume tiers, multi-year discount, no procurement-only.

flowchart TD A[Joint ML + Product + CISO] --> B[Per-Image Proposal] B --> C{Discount?} C -->|Yes| D[MSA] D --> E{Procurement Solo?} E -->|Yes| F[Refuse] E -->|No| G[Joint Neg] F --> G G --> H[Onboarding 5 Days] H --> I[First Production Vision Live Month 1] I --> J[Quarterly Catalog Adoption]

Section 6 — Renewal Trap-Set Month 12 (5 min)

10+ pre-trained models in production. Sub-200ms P95. Edge deployment if applicable. Joint ML dashboard.


FAQ

AWS, Azure, Google? Match cloud. Roboflow? Developer-first. Edge mandatory? Industrial yes. Multimodal LLM critical? Yes in 2027. Catalog target? 100+ models.

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