Procurement checklist

AI Procurement Checklist for Buying AI Software Safely

Use this AI procurement checklist to control AI vendor review, RFP questions, security approval, pricing analysis, contract terms, pilot evidence, implementation readiness, and renewal risk.

Updated 2026-06-24Procurement checklistBuyer enablement page

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Before vendor selection

Procurement should prevent tool sprawl and unclear ownership before demos begin.

Confirm business problem, owner, budget source, approved use case, and alternative options.
Check whether an existing approved tool already covers the workflow.
Require RFP answers, scorecard criteria, security questionnaire, and pilot plan for high-risk or high-cost tools.

Before contract signature

AI contracts need more scrutiny around usage cost, data rights, and renewal mechanics.

Review pricing terms for seats, usage, tokens, documents, calls, storage, integrations, and overage.
Check data processing, training-data use, subprocessors, audit rights, termination, deletion, and export.
Require implementation scope, support SLA, security obligations, product commitments, and renewal notice terms.

Before expansion

Procurement should make expansion depend on evidence, not enthusiasm after the first demo.

Compare actual adoption and ROI against the business case.
Check unresolved security issues, support tickets, data incidents, and user complaints.
Negotiate scale pricing only after usage patterns and workflow value are clear.

Checklist

The AI tool has a named business owner and budget owner.
An approved tool inventory check is complete.
RFP, scorecard, security, and pilot gates are used for material purchases.
Contract terms address data use, deletion, export, audit, and renewal.
Pricing includes usage and overage assumptions.
Expansion depends on adoption, ROI, and risk review.

How to use this template

1Use this checklist as the gate sequence for material AI purchases.
2Route low-risk personal productivity tools through a lighter policy path.
3Attach RFP, scorecard, security, POC, and business case artifacts to the purchase record.
4Review actual value before expanding seats or renewing.

Continue from template to decision

AI Software Buyer Guides

Compare high-intent AI software categories before turning the template into a shortlist.

AI Software by Industry

Move the same template into regulated or department-specific workflows such as finance, legal, support, and security.

AI Buying Checklists

Run due diligence, procurement, security, POC, implementation, and governance checks before turning evidence into templates.

AI Cost Guides

Build a durable cost model for AI software, implementation, RAG, agents, chatbots, and document automation before approval.

AI ROI Guides

Convert cost, pilot, and adoption assumptions into ROI, payback, and business case approval.

AI ROI Calculators

Estimate labor savings, risk reduction, payback period, and adoption assumptions before vendor demos.

AI procurement software

Compare software categories for procurement intake, sourcing, supplier risk, and spend control.

AI vendor scorecard

Compare vendors before contract negotiation.

FAQ

Questions about this AI template

What is different about AI procurement?

AI procurement needs extra review for model behavior, training-data use, usage-based pricing, output review, prompt and document handling, automation permissions, security evidence, and measurable pilot value.

When should procurement require an AI pilot?

Require a pilot when the purchase touches sensitive data, production workflows, regulated decisions, high cost, large seat counts, or claims that cannot be verified through references and documentation alone.