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AI Procurement

Navigate the procurement process for AI solutions, from writing effective RFPs to negotiating contracts, establishing SLAs, and managing ongoing vendor relationships.

The AI Procurement Process

Requirements Documentation
Create a detailed requirements document covering functional needs, performance targets, security requirements, integration constraints, and budget range.
Request for Proposal (RFP)
Issue a structured RFP to shortlisted vendors. Include evaluation criteria, timelines, and proof-of-concept requirements.
Vendor Demonstrations
Have vendors demonstrate their solutions against your specific use cases. Avoid generic demo environments.
Proof of Concept
Run a time-boxed PoC (typically 2-4 weeks) with your actual data and requirements. Measure against predefined success criteria.
Contract Negotiation
Negotiate pricing, terms, SLAs, data handling, and exit clauses. Involve legal and procurement teams.
Onboarding and Integration
Plan the integration timeline, assign dedicated resources, and establish communication channels with the vendor.

Key Contract Terms for AI

AI vendor contracts require special attention to several areas that differ from traditional software procurement:

Data ownership and usage: Clearly define who owns the data, whether the vendor can use it for training, and data deletion policies
Model versioning: Address what happens when the vendor updates or deprecates models you depend on
Performance guarantees: Define minimum quality benchmarks, not just uptime SLAs
Pricing predictability: Negotiate volume discounts, price caps, or committed-use agreements to avoid bill shock
Exit provisions: Ensure you can export your data and transition away with reasonable notice periods
IP and liability: Clarify intellectual property rights for AI-generated outputs and liability for model errors

SLA Considerations

SLA Metric	What to Negotiate	Typical Target
Uptime	Service availability guarantee	99.9% or higher
Latency	Response time percentiles (p50, p95, p99)	Varies by model
Throughput	Guaranteed requests per minute	Based on your peak load
Support response	Time to first response for incidents	1-4 hours for critical
Model deprecation	Notice period before model retirement	90-180 days minimum

Compliance and Legal Review

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Do not skip legal review: AI procurement carries unique legal risks including data privacy liability, AI-generated content ownership, bias and discrimination claims, and regulatory compliance. Always involve your legal team, especially for enterprise-scale deployments.

Budget Planning

AI costs are notoriously difficult to predict. Build your budget with these considerations:

Start small: Begin with a limited pilot and scale based on actual usage data
Plan for 3x growth: If your pilot costs $1,000/month, budget for $3,000-5,000/month for initial production
Monitor aggressively: Set up cost alerts and daily spend tracking from day one
Negotiate volume commitments: Most vendors offer 20-40% discounts for committed annual spend