Answer 5 questions about your AI model and deployment context. Get your compliance readiness score in under 2 minutes — completely free.
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QUESTION 01 OF 05
Has your AI model been tested against the specific regulatory framework for your deployment environment?
Different industries require different frameworks. Healthcare AI needs FDA 2025 AI Guidance. Financial AI needs SR 11-7. Defense AI needs DoD AI Ethics Principles. Testing against the wrong framework — or no framework at all — creates compliance gaps that block enterprise deals.
QUESTION 02 OF 05
Has your AI model been independently tested for demographic bias across patient or user populations?
FDA guidance and CMS non-discrimination requirements both require that AI models perform equally well across demographic groups — age, gender, ethnicity, and geography. Models that perform well on average but poorly on specific subgroups face regulatory and legal liability in regulated markets.
QUESTION 03 OF 05
Do you have a formal independent assessment of your AI model that your enterprise clients' legal teams can review?
When a hospital, bank, or government agency evaluates your AI product, their legal and compliance teams will ask for documented proof of independent due diligence. Internal testing from your own team is a conflict of interest — they need an independent third-party assessment. This is the question that stops deals.
QUESTION 04 OF 05
Has a credentialed domain expert in your target industry reviewed your AI model's outputs for clinical or domain-specific accuracy?
Automated testing can identify statistical patterns but it cannot replace human expert judgment. A licensed radiologist reviewing a medical AI output, or a certified financial analyst reviewing a lending AI, provides the credibility that enterprise procurement officers and regulators actually trust.
QUESTION 05 OF 05
Do you have a documented plan for monitoring your AI model's performance after deployment — including how you will detect and respond to performance drift?
FDA 2025 AI Guidance requires a Predetermined Change Control Plan (PCCP) for AI medical devices. NIST AI RMF requires ongoing monitoring. Enterprise buyers increasingly require vendors to demonstrate post-deployment oversight. A model that passes evaluation today may drift over time — your monitoring plan shows you are managing that risk.
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