AI Vendor Management
A ~36-minute discipline brief for procurement, VMOs, and IT sourcing — running AI vendors with the same discipline as any other critical supplier. Voice: Andrew.
8
Chapters
~36 min
Duration
Intermediate
Level
No
Certification
Who this is for
For CPOs, vendor management office leads, IT sourcing leaders, category managers for technology, and contracts directors.
How this course works
- 8 audio-narrated slide chapters · ~36 min of focused content
- Narrated by Andrew (Azure neural voice)
- Capstone with interactive Markdown builder you take to your team
- Trust trip-wires on every play — what not to cross
- Free verifiable certificate on completion
What you'll walk out with
Specific outcomes from this course — no fluff.
- The four AI vendor archetypes (hyperscalers, ISVs, boutiques, SI partners) and the three most likely to over-promise
- 12-item AI-specific diligence checklist across 4 categories with five red-flag answers and a three-tier rule that scales without watering down
- Six AI-specific contract clauses standard MSAs miss — including the training-data trap and regulator-driven extras for BFSI, healthcare, and EU AI Act
- Performance SLAs across four dimensions (availability, latency, accuracy, drift) with remedies including termination right — not just service credits
- Four lock-in tests (model, data, prompt, integration) with realistic mitigations and the four anti-patterns that don't work
- Five signal sources with a four-phase response cadence and three audit rhythms (quarterly, annual, pre-renewal)
- Pre-written offboarding plans addressing the three AI-specific exit risks (data deletion proof, model retention, retraining echoes)
- A one-page AI vendor playbook + 4 trust trip-wires + interactive playbook builder for the category team
Course content
8 chapters · ~36 min
Welcome
A 1-minute orientation — what the course covers, how to navigate, and what you walk out with. No audio on this screen.
The AI vendor landscape
4 vendor archetypes (hyperscalers · ISVs · boutiques · SI partners) · 3 over-promise patterns to scrutinise.
Diligence checklist for AI vendors
12-item AI-specific checklist · 4 categories · 5 red-flag answers · 3-tier rule.
Contract terms
6 AI-specific clauses standard MSAs miss · the training-data trap · regulator-driven extras (BFSI · healthcare · EU AI Act).
Performance SLAs
Uptime-only trap · 4 SLA dimensions (availability · latency · accuracy · drift) · remedies with termination right.
Lock-in mitigation
4 lock-in tests (model · data · prompt · integration) · 4 realistic mitigations · 4 anti-patterns.
Vendor risk monitoring and audit
5 signal sources (SLA · financial · security · geopolitical · strategic) · 4-phase response · 3 audit rhythms.
Vendor offboarding
Pre-write at signing · 3 AI-specific exit risks (data deletion · model retention · retraining echoes) · 4-section transition plan.
Capstone — AI vendor playbook
5-section one-page playbook · 4 trust trip-wires · interactive playbook builder.
Want this delivered inside your organisation?
The course is the starting point. The same content powers a 4-week pilot, an org-wide rollout, or a continuous build engagement — set up on your data, with your team, by Gennoor Tech.