How Enterprises Are Procuring AI in 2025

Enterprise AI procurement matured fast in 2024–25. The casual "show us a demo, we'll write a check" era is gone. Today's RFPs look more like security audits than software pilots. Here's what's in the standard checklist and how to be ready.

The 2025 enterprise AI RFP checklist

• SOC 2 Type II — Type I is no longer sufficient at most enterprises.
• GDPR Data Processing Addendum with sub-processor list and breach notification SLAs.
• EU AI Act risk classification — is your product limited-risk, high-risk, or prohibited? You must say.
• Model cards for any model you train or fine-tune.
• Bias audit results for any model that influences employment, credit, housing, or healthcare decisions.
• Training data provenance — where did the data come from, how is it licensed, how is consent documented.
• Exit clause covering IP retention — when the contract ends, who owns the fine-tuned model, the prompts, the embeddings?
• Sub-processor list including every LLM provider in your stack.

The procurement questions that catch vendors off guard

1. "Can you demonstrate that customer A's data cannot influence customer B's model output?"
2. "What happens to our data if your LLM provider terminates your account?"
3. "Show us the human review queue for AI decisions that affect our employees."
4. "What's your incident response plan for a prompt injection that exfiltrates our data?"

If you can't answer all four cleanly, you're not enterprise-ready yet.

The new contract terms

• Pricing tied to outcomes or seats, not raw API calls (enterprises want predictability).
• Data residency clauses with named regions.
• Right to audit, including model behavior testing.
• Indemnification for AI-generated content infringement.
• Sunset clauses if any sub-processor changes terms materially.

The unspoken truth

Procurement cycles for enterprise AI now run 4–9 months. If your sales motion assumes 30-day close, you're either selling to SMBs or you haven't actually closed an enterprise yet.

Bottom line

Enterprise AI is no longer a feature sale; it's an assurance sale. Build the documentation and controls before you start the pipeline, or you'll lose deals you'd otherwise win.