Webinar

AI Is Shipping Faster Than You Can Govern It: Getting AI Controls Right in Financial Services

July 8, 2026 | 10 AM PT

Get the governance playbook

Learn how to inventory AI use cases, assess risk, enforce controls in real time, and produce examiner-ready evidence across regulated workflows.

Built for

National banks building internal AI approval and oversight processes.

BaaS platforms managing third-party and embedded-finance AI risk.

Fintech leaders operationalizing AI in fraud, support, risk, and compliance.

Wael Elsahhar

Co-Founder & CEO MidLyr

Previously built payments, risk, and compliance products at Imprint, Amazon, and McKinsey.

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Ruochen Ren

Co-Founder MidLyr

Previously led engineering for payments and infrastructure at Imprint, Grab, and Amazon.

LinkedIn →

Why this matters now

96% of financial services respondents report formal AI governance principles or policies, but only 53% say those principles have translated into specific technical controls.

Only 21% are very confident they could produce centralized, complete, auditable evidence for regulators, auditors, or courts.

Examiners are paying closer attention to access controls, incident response readiness, vendor dependencies, and data-handling practices.

What you will learn

How to map AI systems to risk tiers and approval paths.

How to translate policy into controls AI can actually follow.

How to monitor AI use in real time instead of auditing every tool by hand.

How to build an evidence trail that supports exams, audits, and internal reviews.

When building in-house makes sense versus using a governance layer.