Make the AI decision in context.
AI-Q assesses AI risk, readiness, and adoption. Buyers evaluate fit and deployment blockers; vendors prepare the evidence that supports enterprise conversations.
Assess the fit. Find what stands in the way.
One assessment engine, two distinct perspectives. Start with the business goal and turn adoption friction into practical next steps.
More than a verdict.
Business-first scoring, framework mapping, and tailored reports make the reasoning and next steps clear.
Start with the question you need to answer.
Discuss your use case in a 30-minute demo, or explore Professional Services for hands-on strategy, governance, and implementation support.
For Enterprise Buyers
Does this AI fit our context?
Evaluate a vendor's AI against your use case, regulatory environment, and success criteria. Identify deployment blockers and get a prioritized plan with owners assigned.
Buyer COTS Assessment
A context-specific assessment in about an hour, with business-first scoring and actionable remediation.
Trusted AI Vendor Marketplace
Source pre-vetted solutions with verified Trust Scores, without starting every review from scratch.
For Vendors
What will buyers need to understand?
Prepare for enterprise evaluation on the same engine buyers use. Surface adoption friction before a sales call and carry that intelligence into implementation.
Vendor COTS Assessment
Earn a verified Trust Score. Enter attestation information once and reuse it across deals.
Sales Enablement Agent
Turn an account's assessment into SWOTs, objection responses, and battle cards grounded in that account's data.
Context and purpose
AI-Q Methodology starts with your business goal and scores adoption friction from 0 to 100.
Risks and readiness
A continuously updated library of 1,200+ risks focuses assessment on the blockers relevant to your use case.
Framework alignment
Framework mapping includes NIST AI RMF, ISO 42001, HIPAA, SOC 2, and GDPR.
Reports and next steps
Dual-persona reports translate findings into vendor scorecards, buyer deployment plans, and executive briefs.
Support beyond assessment
Sales, Solutions, and Risk agents support deal preparation, post-deployment adoption, and ongoing risk monitoring.
Reusable trust intelligence
Verified vendor profiles connect buyers and vendors through a shared Trust Marketplace.
Trace the reasoning before you act.
Illustrative assessment note: an illustration, not a real assessment or product output. Define the use case, inspect relevant documentation, record open questions, and keep the decision with an accountable human owner.
Related support, different jobs.
AI-Q is not investment diligence; V-IQ is not an AI vendor assessment.
Frequently Asked Questions
How do buyer and vendor assessments differ?
Both use the AI-Q engine. Buyers evaluate a vendor's AI against their use case, regulatory environment, and success criteria. Vendors earn a verified Trust Score and prepare reusable evidence for enterprise conversations; this does not replace the buyer's own decision.
How long does a buyer assessment take, and what do we receive?
About an hour. You receive a business-first score from 0 to 100, context-specific deployment risks, and a prioritized remediation plan with owners assigned. Tailored reports support technical teams and executive decisions.
Which frameworks does AI-Q map to?
Framework mapping includes NIST AI RMF, ISO 42001, HIPAA, SOC 2, and GDPR. Mapping connects assessment findings to relevant standards; it is not a substitute for certification or organizational approval.
Can vendors reuse their assessment across deals?
Yes. Enter attestation information once and reuse it across deals. The Sales Enablement Agent uses each account's assessment to prepare SWOTs, objection responses, and battle cards, with friction intelligence also supporting implementation.
How does the Trust Marketplace work?
Vendors publish verified Trust Scores in a shared marketplace. Enterprise buyers can source pre-vetted solutions and reuse trust intelligence while still assessing fit for their own context.
What makes AI-Q different from a generic risk checklist?
AI-Q starts with your business goal, filters its continuously updated risk library to relevant adoption blockers, and turns findings into quantified decisions and practical next steps.