Description:
Compliance teams today are drowning in fragmented data, growing reporting demands, and pressure to do more with fewer resources. Artificial intelligence (AI) is quickly becoming a game-changer by helping teams compile regulatory data, analyze it with greater precision, and act on insights before risks escalate. This session walks through real-world use cases—including HUD multifamily oversight, lending compliance, and fair housing program managements showing how AI can reduce human error, cut hours of manual work, and create a proactive compliance culture. Participants will leave with a clear understanding of how to responsibly adopt AI-driven tools to make compliance smarter, faster, and more effective.
Who is this Designed for: Risk, compliance, operations, and technology professionals in fintechs, MSBs, and community banks who want to apply AI tools in a practical, results-driven way.
Agenda:
Understanding AI in Compliance – What AI can (and can’t) do for regulatory data collection and monitoring
Improving Accuracy & Efficiency – How AI reduces errors and accelerates the creation of audit-ready reports
From Reactive to Proactive – Using AI to anticipate risks, detect patterns, and enable continuous improvement
Case Study Insights – Lessons from HUD oversight, lending compliance, and fair housing program management
Responsible Adoption – Guardrails for collaborating with AI tools while maintaining accountability and control
By the end of this webinar, you will know how to:
Identify and evaluate AI tools that enhance compliance data collection, monitoring, and reporting
Apply AI-driven techniques to improve data accuracy and reduce manual workload
Transition compliance functions from reactive reporting to proactive risk management
Detect emerging trends and risks through AI-powered insights
Strengthen oversight and efficiency in programs like HUD, lending compliance, and fair housing