TEST 01
Can you describe exactly which product features use AI?
Evidence Architecture and product inventory.
Contradiction test Compare sales copy, documentation and actual feature flags for undisclosed AI functionality.
Practical field guide · 40 evidence tests
AI Procurement Readiness Checklist
Enterprise AI procurement does not stop at “yes.” Serious review asks: show the evidence, define the scope, reconcile the contract, and prove the control still applies to the system being sold.
This is not another vendor questionnaire. It is a pre-submission contradiction review: for each material claim, identify the evidence, attack its scope and consistency, then record what actually survives.
CLAIM→EVIDENCE→CONTRADICTION TEST→STATUS
Working rule: a “yes” without current, scoped evidence is not Ready. Use Ready, Partial, Blocked, or Not applicable — with rationale. Missing evidence is not proof that a control does not exist; it means the claim is not yet evidenced within the reviewed scope.
Domain 01
System boundary & ownership
TEST 02
Can you identify every model and provider in the production path?
Evidence Model/provider register.
Contradiction test Inspect fallbacks, routers and embedded third-party AI.
TEST 03
Is there a named owner for each material AI system?
Evidence Responsibility matrix.
Contradiction test Ask who can approve a model or provider change today.
TEST 04
Can you distinguish your responsibilities from upstream provider responsibilities?
Evidence Data-flow and responsibility map.
Contradiction test Locate obligations silently delegated to an upstream provider.
TEST 05
Is the assessed scope dated and versioned?
Evidence Scope statement and release mapping.
Contradiction test Identify functionality shipped after the evidence period.
Domain 02
Data flow, retention & training use
TEST 06
Can you trace customer prompts, files and data from ingress to deletion?
Evidence Data-flow diagram plus system records.
Contradiction test Follow logs, queues, embeddings, backups and support exports—not only the primary database.
TEST 07
Is customer-data training and model-improvement use stated precisely?
Evidence Product settings, policies and contracts.
Contradiction test Compare “not used to train” with evaluation, abuse monitoring, human review and product-improvement clauses.
TEST 08
Are retention periods defined per data class?
Evidence Retention schedule and configuration.
Contradiction test Determine whether prompts, outputs, telemetry and backups have different retention windows.
TEST 09
Can deletion claims be demonstrated?
Evidence Deletion procedure and test records.
Contradiction test Trace replicas, vector stores, logs and subprocessors.
TEST 10
Are data locations and transfer paths known?
Evidence Hosting and subprocessor map.
Contradiction test Compare marketed residency with support, telemetry and model-provider processing.
Domain 03
Third parties & AI supply chain
TEST 11
Is the subprocessor list complete for the AI path?
Evidence Current subprocessor register.
Contradiction test Reconcile infrastructure, SDKs and architecture against the published list.
TEST 12
Are material model and provider dependencies documented?
Evidence Dependency register.
Contradiction test Determine what changes if an upstream model changes behavior, terms or availability.
TEST 13
Are provider-change triggers defined?
Evidence Change-management policy.
Contradiction test Simulate a model-version replacement.
TEST 14
Do contractual commitments flow down where necessary?
Evidence Vendor agreements and DPA mapping.
Contradiction test Find customer promises unsupported by upstream commitments.
TEST 15
Can you evidence review of critical AI suppliers?
Evidence Dated supplier assessment.
Contradiction test Verify that it covers AI-specific behavior and data paths, not merely generic SaaS security.
Domain 04
Security & access
TEST 16
Are privileged access paths to customer AI data identified?
Evidence IAM/RBAC design and access records.
Contradiction test Include support, engineering, break-glass and vendor access.
TEST 17
Is tenant isolation evidenced?
Evidence Architecture and test results.
Contradiction test Examine AI caches, vector stores, retrieval indexes and shared inference components.
TEST 18
Are secrets and model/API credentials controlled?
Evidence Secret-management configuration.
Contradiction test Inspect CI/CD, logs, client code and support tooling.
TEST 19
Are AI-facing inputs and outputs treated as untrusted where appropriate?
Evidence Threat model and controls.
Contradiction test Test retrieved documents, indirect content and tool instructions for trust-boundary violations.
TEST 20
Can security-relevant AI activity be reconstructed?
Evidence Logging schema and sample incident trace.
Contradiction test Determine whether you can reconstruct who did what, using which model, configuration, data and tool.
Domain 05
Agents, tools & automation
TEST 21
What actions can the AI take beyond generating content?
Evidence Tool and permission inventory.
Contradiction test Enumerate every write, send, delete, purchase, deploy or privilege-changing capability.
TEST 22
Is least privilege applied to AI tools?
Evidence Scoped credentials and policies.
Contradiction test Compare actual permissions with the minimum required action set.
TEST 23
Where is human approval mandatory?
Evidence Workflow configuration.
Contradiction test Attempt consequential actions through alternate paths or chained tools.
TEST 24
Are tool inputs and outputs validated?
Evidence Schemas and tests.
Contradiction test Introduce malformed or adversarial content across tool boundaries.
TEST 25
Are failure and rollback paths defined?
Evidence Runbooks and tests.
Contradiction test Simulate partial completion, timeout, duplicate execution and upstream failure.
Domain 06
Model behavior, evaluation & change
TEST 26
Are material failure modes explicitly documented?
Evidence Risk and evaluation register.
Contradiction test Compare known limitations with sales claims and intended uses.
TEST 27
Are evaluations tied to the actual use case?
Evidence Evaluation suite and results.
Contradiction test Reject generic benchmark scores that do not test the customer workflow.
TEST 28
Are acceptance thresholds defined before testing?
Evidence Evaluation plan.
Contradiction test Look for post-hoc success criteria.
TEST 29
Are model, prompt and retrieval changes regression-tested?
Evidence Release gates and results.
Contradiction test Identify production changes that bypass evaluation.
TEST 30
Can you reproduce which configuration produced a material result?
Evidence Versioning and trace data.
Contradiction test Select a historical transaction and attempt to reconstruct it.
Domain 07
Governance, incidents & human oversight
TEST 31
Is AI risk ownership operational rather than nominal?
Evidence Decisions, approved exceptions and governance records.
Contradiction test Present a concrete risk and identify who actually has authority to accept it.
TEST 32
Are AI incidents defined beyond conventional data breaches?
Evidence Incident taxonomy and runbook.
Contradiction test Test unsafe automation, material misinformation and model/provider failure scenarios.
TEST 33
Are escalation thresholds explicit?
Evidence Incident procedure.
Contradiction test Give borderline cases to different owners and compare their decisions.
TEST 34
Is human oversight meaningful for consequential uses?
Evidence Workflow and authority definition.
Contradiction test Determine whether the reviewer has sufficient information, time and authority to override.
TEST 35
Are exceptions time-bounded and owned?
Evidence Exception register.
Contradiction test Identify expired or permanently “temporary” exceptions.
Domain 08
Contract, privacy, sales claims & buyer evidence
TEST 36
Do security, privacy and AI claims match the contract?
Evidence Claim-to-clause matrix.
Contradiction test Compare website, questionnaire answers, DPA, MSA and sales material.
TEST 37
Are certification and assurance claims scoped correctly?
Evidence Certificate/report scope and dates.
Contradiction test Verify that the AI feature or system is actually inside the covered boundary.
TEST 38
Can every high-value questionnaire answer point to evidence?
Evidence Answer-to-artifact index.
Contradiction test Remove narrative assertions and determine what remains provable.
TEST 39
Are regulatory statements role- and use-case-specific?
Evidence Applicability analysis.
Contradiction test Challenge blanket compliance statements that do not identify role, system and applicable obligation.
TEST 40
Can the complete buyer evidence pack survive independent contradiction review?
Evidence Frozen submission pack.
Contradiction test Give it to a reviewer who did not prepare it and ask them to find inconsistent dates, scopes, owners, claims and missing artifacts.
Fast preflight
The 5-minute contradiction test
Choose ten material claims from your next buyer submission and ask the same questions a skeptical reviewer will ask.
- Where is the evidence?
- Is it current?
- Does it cover this exact product and AI feature?
- Does another document say something different?
- Is an upstream provider required for the claim to remain true?
- Can it be reproduced from system evidence rather than policy language?
- Who owns the exception if the claim is only partially true?
If any answer is unclear, the claim is not submission-ready. Resolve the scope, evidence or ownership gap before the buyer has to discover it.
What “ready” means
Evidence that can survive the next question.
Ready does not mean “we answered every question.” It means material claims are scoped, current, internally consistent, attributable to an owner and supported by evidence that can withstand follow-up.
This checklist is an assessment aid, not a certification or guarantee of procurement, regulatory or auditor approval. Applicable requirements depend on the organization, system, role, jurisdiction and use case.
Evidence patternBuyer-ready
- Claim
- Exact representation being made.
- Evidence
- Current source that covers the same scope.
- Challenge
- Contradictory sources, exceptions and dependency checks.
- Status
- What is supported, partial, blocked or not applicable.
Want us to attack the evidence before your buyer does?
UniToolx reviews a defined scope at depth: claims, evidence, contradictions, buyer follow-ups and remediation. See the method and sample before deciding whether to engage us.