What should an enterprise AI RFP require vendors to prove?

Describe the bounded use case first

An RFP asking for enterprise AI transformation is difficult to evaluate fairly. Name the first employee task, permitted source type, audience and output. State excluded actions and information. Then identify the evidence required to accept that task. This article is procurement planning guidance, not a ready legal agreement or a promise that every requirement applies to every organization.

For a knowledge assistant, you might require a current supported answer, a correct denied-user result and an honest escalation when evidence is absent. For an action workflow, add exact mutation scope, authorization, duplicate handling and destination confirmation. Keep business output and technical control evidence distinct.

Use requirements with observable evidence

Ask vendors to mark available now, requires configuration, requires custom work, or outside scope. Require dependencies and assumptions for custom work. A simple yes hides too much when the requirement depends on a deployment mode, service tier or future integration.

Illustrative editorial photograph, not a customer result.

Keep acceptance independent of the demonstration

Supply synthetic cases and expected outcomes under your authorized evaluation process. Retain some held-out cases for review. Identify the source and security owners who approve the result. Do not allow a vendor to redefine a denial or unresolved question as success because its answer sounds helpful.

Record evidence gaps with an owner and next action. A security report may be relevant but its product, period and scope need review. A reference architecture may be useful but is not the proposed deployment. Qualified legal, procurement and security teams decide contractual obligations and whether the evidence is sufficient.

Ask for an operating cost model

Separate implementation, subscription, usage, maintenance, evaluation and support. State task-volume assumptions. Ask which work your team performs and which the supplier performs after launch. Do not compare a subscription quote with a custom-build estimate that excludes on-call support or source maintenance.

Include the cost and responsibility of exit. Request an inspectable export and a description of what must be rebuilt. Ask how original company guidance remains available independently of the assistant. Portability should be demonstrated for a representative task, not merely promised in a feature list.

Make failure handling a procurement requirement

Require an honest status when sources are unavailable or an action outcome is uncertain. Name the manual path and evidence needed before retry. Include a change-review process for new sources, model behavior and tool permissions. The system you buy must remain governable after the first presentation.

Put this to work this week

Draft five observable requirements for your first task and give each an evidence field. Ask your procurement and system reviewers to distinguish a capability claim from deployment-specific proof. Mark custom work and dependencies explicitly. Preserve held-out acceptance cases. Before approving a response, confirm the operating and exit owners as well as the price. Qualified legal and procurement staff should turn agreed obligations into the actual contracting language.

Use the AI Connection Scope Worksheet to prepare your requirements and the vendor-demo guide to inspect responses. The NIST AI RMF provides broader voluntary governance context, not a prescribed RFP form. Request an evidence-led demo and hold SimplSolutions to the same standard: concrete output, confirmed dependencies, reviewed scope and no invented claim that every system is already connected.