Enterprise AI Procurement Process
How enterprises procure AI. From identification to contract to deployment.
Process stages: Need identification → vendor research → RFI → RFP → vendor selection → contract negotiation → pilot → enterprise rollout.
Stakeholders: Business sponsor, IT/security, legal, procurement, finance, end users. Coordination critical.
Contracts: SLAs, data ownership, model use, exit terms, pricing flexibility, AI ethics commitments.
Bottom line: AI procurement is harder than standard SaaS procurement. Plan for complexity.
Frequently asked questions
AI procurement complexity?
Higher than standard SaaS. AI-specific terms (data use, model rights, ethics), integration complexity, change management. Plan for it.
Contract terms unique to AI?
Data ownership, model training rights, output ownership, ethics commitments, regulatory cooperation. Standard SaaS contracts insufficient.
How long does procurement take?
3-9 months for enterprise AI purchases. Major investments longer. Plan accordingly.
Vendor lock-in mitigation?
Standard data formats, API access, exit assistance, pricing protections. Don't accept full lock-in.
Pricing flexibility?
Volume tiers, ramp-up periods, usage-based components, capacity flexibility. Negotiate for change.
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