How to Write an AI Development RFP

A vague AI RFP produces vague proposals—and makes it impossible to tell real capability from confident hype. Here's how to write one that surfaces the truth.

Lead with the outcome, not the tech

The most common RFP mistake is specifying technology ("we want an LLM chatbot with RAG") instead of the outcome ("cut first-response time 40% while maintaining accuracy"). Tech-first briefs attract order-takers and hide whether a vendor can ship. Define the success metric first—the same discipline as an AI ROI case.

What to include

Section	Purpose
Outcome + success metric	What "done" means
Problem + data reality	The real starting point
Constraints	Security, compliance, integration
Reliability questions	How they evaluate & guardrail
Security questions	Data handling and posture
References	Production, not demos

Ask how they engineer reliability

Include explicit questions on evaluation, guardrails, monitoring, and human oversight. A vendor who can't answer builds demos, not production AI. See how to evaluate AI vendors.

Invite a challenge

The best RFPs ask vendors to push back: "Where is our approach wrong? What are we underestimating?" A vendor who challenges your framing (especially on data) is showing the judgment you're hiring for.

Be careful with fixed price

A credible fixed price requires understanding scope and data—usually a discovery. Consider requesting a discovery-based proposal rather than a blind fixed bid; see fixed-price vs dedicated team.

Why FISTA

FISTA Solutions responds to outcome-first RFPs with a discovery-based proposal, production references, and honest scope—read about FISTA, backed by 150+ projects across 12+ countries.

Writing an AI RFP? Talk to FISTA, or use questions to ask an AI company.