The ZERO™ Five-Gate Methodology
Every AI system passes through five governance gates before and during production. No exceptions. No shortcuts. Zero findings.
Discover
Find every AI system operating inside your institution — including the ones nobody knows about. Most institutions discover 3–5x more AI systems than expected in their first assessment.
- Enterprise-wide AI system inventory scan
- Shadow AI detection across all business units
- Vendor AI identification (embedded and third-party)
- Documentation of system origins and ownership
Govern
Classify every AI system by regulatory risk. Assign clear accountability. Establish governance policies that align with SR 11-7, ISO 42001, NIST AI RMF, and the EU AI Act.
- Risk-tiered classification (High / Medium / Low)
- Accountability matrix and ownership assignment
- Policy framework aligned with regulatory requirements
- Board-level reporting structure
Deploy
Validate every AI system before production. Build the evidence trail that regulators require. Governance happens before examination, not in response to it.
- Pre-deployment validation and model testing
- Bias, fairness, and explainability assessment
- Evidence generation and documentation standards
- Regulatory exam-ready approval workflows
Operate
Run production AI with real-time monitoring, full decision logging, and human override at every critical decision point. Operations that satisfy regulators before they ask.
- Real-time monitoring and alerting infrastructure
- Decision logging and auditability framework
- Human-in-the-loop override controls
- Incident detection and escalation protocols
Monitor
Continuously detect model drift, performance degradation, and emerging risks. Generate the evidence that proves your governance is operating — not just documented.
- Continuous drift detection and performance benchmarking
- Automated evidence generation for examination
- Periodic model revalidation and stress testing
- Regulatory change management and framework updates
Built on the Standards That Matter
ZERO™ is designed to satisfy every major AI governance and information security standard applicable to regulated financial institutions.
Built for Regulated Financial Institutions
Banks & Credit Unions
Fed, OCC, and NCUA examination preparation. AI governance built to survive — not respond to — regulatory scrutiny.
Asset Managers & Fintechs
SEC and FINRA alignment. AI governance for investment, trading, and advisory systems operating under heightened scrutiny.
Global Financial Institutions
EU AI Act readiness alongside ISO 42001 and ISO 27001 implementation for cross-border regulatory compliance.
Results Across Fortune 100 Institutions
Regulatory Findings
Across Federal Reserve, OCC, and NCUA examinations. 420+ AI systems governed. Zero exceptions to the methodology.
Shadow AI Governed
One institution thought they had 12 AI systems. Discovery found 47. All 35 ungoverned systems brought into compliance. Zero NCUA findings in 90 days.
To Exam-Ready Operations
From Shadow AI chaos to fully documented, monitored, and examination-ready governance in under 90 days.
Enterprise Value Delivered
Across AI transformation programs at Fortune 100 banks. Governance that enables enterprise-scale AI deployment — not just compliance.
Built by a Practitioner. Not a Theorist.
Rehan Kausar
Rehan Kausar built the ZERO™ Operating Model from 25+ years of governing enterprise AI in the most regulated financial institutions in the world — including Bank of America, Morgan Stanley, JPMorgan, Citigroup, and Barclays. He is one of fewer than 10 individuals globally who hold dual ISO 42001 and ISO 27001 Lead Auditor certifications.
Is Your AI Governance Ready for Examination?
A ZERO™ Assessment begins with a structured discovery conversation. No pitch decks. No vendor demos. Just an honest evaluation of where your AI governance stands — and what it would take to achieve zero findings.