Don't Just Trust It - The Case for Explainable AI in Compliance

Don't Just Trust It

The Case for Explainable AI in Compliance

Thursday, January 22th 2pm EST

Presented by: MirrorWeb & Red Oak

About this webinar:

"If a regulator asked you to explain how your AI made a compliance decision, could you?" 

Our research with CCOs reveals that every single one said no. 

Here's why. Most firms are stuck between two bad options. 

1. Broken existing systems generate endless false positives. "There's a lot of false positives. Each time, someone has to read every message, understand the context, and verify whether there are any issues." - Deputy CCO, Private Equity 

1. Generic AI implementations create unexplainable decisions you can't defend to regulators. 

The result? 97% of organizations are implementing AI-driven compliance, but only 41% are confident they can explain these systems to examiners. 

The Solution - AI You Can Actually Explain and Defend 

Some firms are getting this right. They're achieving 98% reductions in false positives through explainable AI systems that pass the defensibility test. 

The difference? As one Deputy CCO explained: "I would say, 'We employ a tool, this is how the tool works and this is the process, I've validated it, and I'm comfortable with the results.'" 

What You'll Learn 

• The Defensibility Test Research - Exclusive findings revealing why every CCO fails with current approaches and what success looks like 

• What Explainable AI Actually Means - Real examples of transparent decision-making vs. generic "AI black boxes" with practical demonstrations 

• Implementation Strategy That Works - How systematic approaches achieve 98% false positive reductions with complete regulatory defensibility 

• Regulatory Reality Check - What examiners are actually asking about AI and how explainable frameworks create examination confidence
   

Bonus: Attendees who stay until the end will receive our comprehensive Vendor Vetting Checklist - the exact questions and standards to demand from any AI compliance provider. 

 Learn how to build AI systems you can confidently explain and defend to regulators. 

Can't make it live? Register anyway for the recording.

About the Speakers: 

Jamie Hoyle - VP of Product, MirrorWeb
Jamie has been helping compliance teams navigate regulatory challenges for the past decade, leading product strategy at MirrorWeb with a passion for innovation that goes beyond checkbox compliance. He believes in building efficient, user-friendly solutions that capture data in its most natural format rather than forcing everything into outdated paradigms. Jamie is passionate about leading innovation in compliance technology - creating purpose-built solutions designed from the ground up rather than retrofitting capabilities onto existing products.

James Cella - Principal Product Advisor, Red Oak Compliance
James leads the evolution of innovative compliance technology at Red Oak, where he continues developing industry-leading applications for internet supervision, social media compliance, and policy management. With hands-on experience creating compliance solutions used by firms throughout the US and Canada, James works directly with engineering and customer teams to solve the complex challenges compliance teams face daily.