Everything you've wondered about AI governance, answered in plain terms.
AI governance is the set of policies, controls, and accountability structures that determine how your company builds, buys, and deploys AI — covering data handling, model decisions, audit trails, and vendor risk. For a mid-market team it doesn't mean a compliance department or a multi-year program: it means documented answers to the questions a regulator, enterprise customer, or internal auditor will eventually ask. Our AI Readiness Assessment surfaces exactly which controls you're missing and ranks them by severity so you know what to fix first.
→ Take the free 17-question scorecardThe $500 strategy session is explicitly designed for teams at that uncertainty stage — 90 minutes, live, with someone who has read your scorecard results and mapped your AI use cases to the regulations that actually bind your industry. If you finish the call and conclude governance isn't urgent for your situation, you'll have a documented rationale for that decision, which is itself a governance artifact. The free scorecard takes five minutes and costs nothing; the paid session only makes sense after you've seen your category scores.
→ Start with the free scorecardThe EU AI Act's prohibited-practice provisions took effect in February 2025 and the high-risk-system obligations phase in through August 2026 — if your product touches healthcare decisions, credit scoring, biometric data, or critical infrastructure, those deadlines are not hypothetical. SEC guidance on AI-related disclosures is already influencing proxy season review, and HIPAA enforcement has expanded to cover AI-assisted clinical tools. Governance programs take 60–90 days to stand up even at the Essential tier; starting next quarter means arriving late to a regulatory window that opened this year.
→ See the engagement packagesThe free scorecard tells you where you stand and what category of risk you carry; the paid engagement turns that read into a document your team, your board, and your auditor can act on. Depending on the tier you choose, deliverables include a live risk register with mitigation owners, a phased 30/60/90-day implementation roadmap, policy and procedure templates for your specific regulations, and a Rex-verified AI Governance Plan PDF generated by our five-agent pipeline. The scorecard is a map; the engagement is the route.
→ Compare engagement packagesApplicability depends on your industry, the data your models touch, and how AI outputs influence decisions — our platform maps 23 active regulations (including HIPAA, GDPR, SR 11-7, and the EU AI Act) to 110 individual provisions, then matches them to your AI use cases through 64 applicability rules so you see only the obligations that genuinely apply to you. A healthcare company running an AI-assisted triage tool faces HIPAA's minimum-necessary standard plus EU AI Act high-risk classification; a financial services firm using LLMs for credit underwriting faces SR 11-7 model risk management and potentially SEC AI disclosure guidance. The free scorecard surfaces your regulatory exposure; the $500 strategy session walks you through it live and answers the specific questions your team has.
→ Book the $500 strategy session