Keynotes and executive briefings on AI governance, regulatory readiness, and the future of enterprise AI — delivered from 25+ years of practice inside the world's most regulated financial institutions.
Rehan Kausar is one of the world's foremost authorities on AI governance in regulated financial services. Over 25 years, he has governed more than 420 production AI systems across Fortune 100 banks — Bank of America, Morgan Stanley, JPMorgan, Citigroup, and Barclays — under Federal Reserve, OCC, and NCUA examination, with zero regulatory findings.
He is the creator of the ZERO™ Operating Model — the only AI governance methodology with a documented track record of zero regulatory findings at enterprise scale — and one of fewer than 10 people globally holding dual ISO 42001 and ISO 27001 Lead Auditor certification.
Rehan speaks from practitioner experience, not consulting frameworks. His keynotes are built on the specific patterns, failures, and discoveries that emerge when you are accountable for what actually happens when AI meets a regulatory examiner.
Four keynotes built from firsthand experience — each one connecting AI governance to the business, regulatory, and competitive realities that executives and boards care about most.
Most financial institutions believe they have 10–15 AI systems. Most actually have 40–60. The discovery gap — and what it means for regulatory examination — is the defining AI governance story of 2025–2026. This keynote delivers the pattern, the data, and the architecture for closing it.
What does it actually take to govern AI across a regulated financial institution and emerge from a Fed, OCC, or NCUA examination with zero findings? This keynote walks through the operating model, the examination patterns, and the governance architecture that makes the difference between a clean examination and a remediation program.
88% of financial institutions have AI on the roadmap. 11% have meaningful enterprise deployment. The gap is not a technology problem or a talent problem. It is a governance architecture problem — and this keynote explains exactly why, and what it takes to build governance that accelerates deployment rather than blocking it.
Agentic AI doesn't just predict — it acts. It takes sequences of decisions, interacts with external systems, and executes across multi-step workflows without continuous human direction. For regulated financial institutions, this creates an accountability gap that existing model risk frameworks were never designed to close. This keynote defines the problem and the governance architecture that addresses it.
Deep expertise across the full spectrum of AI governance for regulated financial institutions.
Building operating models that govern AI at enterprise scale — from discovery through continuous monitoring.
The AI Management System standard — what it requires, how it maps to existing frameworks, and what boards need to understand.
The methodology for finding every AI system operating in a large organization — including the ones no one documented.
What examiners are looking for in 2025–2026 and what governance posture produces zero findings under Fed, OCC, and NCUA scrutiny.
The accountability frameworks, oversight controls, and monitoring architectures required for AI that acts rather than predicts.
Five questions every board should be asking about AI — and the governance structures that make the answers defensible.
Global conferences, executive roundtables, and board briefings across financial services, AI governance, and regulatory domains.
45–60 minute keynotes for conferences, summits, and industry forums. Tailored to audience and theme.
Private 60–90 minute briefings for boards and risk committees on AI governance, oversight obligations, and examination readiness.
Facilitated discussions for C-suite and senior leadership on AI transformation strategy, risk posture, and governance architecture.
Interviews and expert commentary on AI governance, regulatory trends, and the future of enterprise AI in regulated industries.
Moderated panels and expert sessions at conferences, industry forums, and regulatory roundtables globally.
Half-day and full-day workshops for leadership teams building AI governance programs or preparing for regulatory examination.
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Rehan's keynotes are practitioner-led — no consulting frameworks, no product pitches. Relevant, specific, and immediately actionable for any audience navigating AI governance.
Rehan Kausar is the founder of AI Advantages LLC and architect of the Zero-Findings Standard™ — the only AI governance framework with a documented track record of zero regulatory findings across 420+ production AI systems at Fortune 100 financial institutions. He holds dual ISO 42001 and ISO 27001 Lead Auditor certification and an MBA from Kellogg.
Rehan Kausar is a contributing writer and practitioner on AI governance in regulated financial institutions. He is the founder of AI Advantages LLC and the architect of the Zero-Findings Standard™ — a practitioner-developed AI governance framework built from 25 years of firsthand experience governing AI at Bank of America, Morgan Stanley, JPMorgan, Citigroup, and Barclays.
Rehan has governed more than 420 production AI systems under Federal Reserve, OCC, and NCUA examination — with zero regulatory findings. He holds dual ISO 42001 and ISO 27001 Lead Auditor certification, one of fewer than 10 people globally with both credentials. He holds an MBA from Kellogg School of Management and a CDAIO from Carnegie Mellon, and serves on the NACD and Kellogg Alumni Board.
Rehan Kausar is the founder and Chief AI Officer of AI Advantages LLC, a governance advisory firm focused exclusively on regulated financial institutions, and the architect of the Zero-Findings Standard™ — the only AI governance methodology with a documented track record of zero regulatory findings across more than 420 production AI systems at scale.
Over a 25-year career, Rehan has governed enterprise AI programs at five of the world's most systemically important financial institutions: Bank of America, Morgan Stanley, JPMorgan Chase, Citigroup, and Barclays. In each engagement, his work has been examined by the Federal Reserve, Office of the Comptroller of the Currency, or National Credit Union Administration — and in each case, the result has been the same: zero regulatory findings.
He is one of fewer than 10 people globally who hold both ISO 42001 (AI Management Systems) and ISO 27001 (Information Security) Lead Auditor certification — a distinction that positions him at the intersection of information security governance and the rapidly evolving field of AI risk management. He holds an MBA from Kellogg School of Management and a CDAIO from Carnegie Mellon University, and serves on the boards of NACD and the Kellogg Alumni Board.
Rehan's keynotes and briefings draw on specific patterns from his examination experience — not consulting frameworks or generic frameworks. His audiences include boards, C-suite executives, regulatory affairs leaders, and the growing community of Chief AI Officers navigating what it actually means to govern AI at enterprise scale in a regulated environment. He is based in the United States and available to speak globally, with particular expertise in GCC/Saudi Arabia AI regulatory frameworks through his work with the U.S.–Saudi AI Working Group.
Available for representation by accredited speaker bureaus. Bureau inquiries welcome from NSA, BigSpeak, Leading Authorities, APB, Executive Speakers Bureau, London Speaker Bureau, and NACD-affiliated booking networks.
Bureau inquiries: rehan@aiadvantages.ai · Reference subject: "Bureau Inquiry"
Rehan delivers keynotes and briefings grounded in 25+ years of practice — not frameworks. If your audience includes executives, boards, or technology leaders navigating AI governance and regulatory readiness, the conversation will be relevant, specific, and immediately actionable.
The research and practitioner thinking behind Rehan's speaking topics — available now in the AI Advantages Insights library.
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