A diagnostic on how your organization governs AI: where an agent could act without approval, where sensitive data could surface in an output, and whether you could show the risk was assessed. Findings map to NIST AI RMF. Re-run it whenever your AI footprint changes.
Complete your initial diagnostic assessment in 2-3 hours. Self-paced — pause and resume anytime. No preparation required.
Tailored to your industry, company size, and operating geography — not a generic checklist.
Built by practitioners
Built by enterprise risk, fraud, and security risk practitioners
Secure by design
No names. No free-text. Nothing sensitive.
No AI agents
Auditable analysis. No autonomous actions. No black-box results.
AI deployments carry three recurring exposures, whether anyone has written them down or not.
Autonomous or semi-autonomous agents get granted more access as they prove useful. Nobody maps that access against what the agent is actually authorized to do until something goes wrong and the question is "who approved this."
A model trained, fine-tuned, or given retrieval access to customer, employee, or proprietary data can surface it in an output or pass it to a third-party vendor without anyone deciding that should be possible.
A biased, discriminatory, or noncompliant output reaches a customer or regulator before anyone catches it - and there's no documentation showing the risk was ever assessed, only that it existed.
These rarely show up on a dashboard until after they've happened. VeloRisk assesses the governance program that determines whether you catch them before they do - or find out about them the same way your board and your regulator do.
This is what the diagnostic hands you: findings by severity, failure scenarios by likelihood and impact, and what changed since your last run. Sample data.
Program Dashboard — AI risk posture at a glance
Assessment report — findings by severity and function
Assessment report — failure scenarios by likelihood and impact
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VeloRisk's AI Risk Program is built for CTOs, CISOs, Chief Risk Officers, and compliance leaders who need a living, board-ready program for their evolving AI governance posture.
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The EU AI Act is already in force, and its obligations phase in through 2027 and 2028. US federal guidance is accelerating. OCC model risk management requirements are already being applied to AI systems at regulated institutions. A documented AI governance posture is the baseline these regimes expect.
EU AI Act — In Force, Phasing In
Governance obligations are phasing in. Documentation is the baseline.
The Act's prohibitions and core transparency duties already apply, and requirements for high-risk AI systems phase in through 2027 and 2028. Penalties for the most serious violations reach up to 7% of global revenue. The organizations that document governance now aren't scrambling when each date arrives. See the EU's official schedule.
US Regulatory Landscape
Multiple agencies, converging expectations
The CFPB, EEOC, OCC, and Federal Reserve have each issued AI-specific guidance with enforcement implications. OCC model risk management guidance (SR 11-7) is being applied to AI systems at regulated institutions right now.
Reasonable Steps, Documented
Regulators assess "reasonable steps" — you need to show them
A documented AI risk program — showing governance gaps identified, controls evaluated, and remediation prioritized — is the clearest evidence of reasonable steps before an examiner or plaintiff's attorney asks for it. Without it, you have no story to tell.
Most users complete their initial diagnostic assessment in 2-3 hours, one time. The assessment is self-paced — you can pause and resume at any time. No data collection or preparation is required before you start; the platform guides you through what it needs to know about your AI footprint and governance environment. Future re-runs open pre-filled with your previous answers, so updates take a fraction of that time.
Your AI footprint changes constantly — new models deployed, new use cases, new vendors. A one-time assessment is out of date the moment you ship the next model. VeloRisk lets you re-evaluate on demand when your AI posture changes. Unlimited reassessments are included with the annual program, so your governance documentation stays current as your AI program evolves.
No. The assessment is valuable whether you're deploying AI extensively, just beginning to use AI tools, or primarily using AI through vendors and SaaS platforms. The assessment adapts to your current AI posture—organizations at any stage of AI maturity will get actionable findings.
The assessment is for the person responsible for AI governance or technology risk—typically the CTO, CISO, Chief Risk Officer, Chief AI Officer, or a senior compliance leader. Involve as many participants as needed — legal, engineering, data science, and operations are all welcome contributors.
VeloRisk analyzes your organization across AI governance dimensions including model inventory and lifecycle management, data governance practices, human oversight structures, third-party AI vendor risk, bias and fairness controls, explainability and transparency, and incident response readiness. The AI Risk Program Assessment produces two reports: an Executive Report for board and leadership audiences, and a Practitioner Report for technical and compliance teams. Both include an AI risk exposure summary, governance gap analysis by domain, prioritized remediation recommendations, and compliance mappings to EU AI Act, MITRE ATLAS, NIST AI RMF 1.0, NIST CSF 2.0, OECD AI Principles, OWASP LLM Top 10, and other applicable frameworks. Findings are prioritized by likelihood, impact, and remediation effort.
Absolutely. All data is encrypted at rest and in transit, hosted on Google Cloud Platform, whose infrastructure is SOC 2 Type II certified. We never share your data with third parties. You retain full ownership of all assessment data and reports.
Yes. Contact us for custom enterprise packages.
Start today. No preparation required. Board-ready AI governance from day one.
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