Real-Time, Explainable, Auditable: Financial Services CXO Playbook for Agentic AI in Regulatory Compliance
Webinar Speaker: Donald Farmer, Research Fellow
Date: Tuesday, July 14, 2026
Time: 9:00 a.m. PT / 12:00 p.m. ET
In a sector defined by milliseconds and stringent regulations, financial enterprises must ensure that AI systems and agents understand their complex business logic, proprietary knowledge, reporting structures, and compliance requirements. Without this crucial context, agentic AI output remains unreliable, resulting in stalled pilots and operational risks.
Autonomous compliance hinges less on the raw capability of models than on the data foundation, governance fabric, and context engineering processes that surround it. This session with TDWI research fellow Donald Farmer and experts from Databricks and Impetus will explore how financial enterprises can manage risk and compliance on a single governed, scalable platform.
Attendees will discover how to address the context gap between what AI models know and what their enterprise knows, so agentic AI deployments deliver the intended business outcomes. Drawing on customer success stories, the session offers a practical playbook for moving from rule-based controls toward explainable, auditable, context-aware agentic decisioning at scale. Key Takeaways:
- Why explainability and auditability now sit alongside speed and accuracy as primary success criteria for agentic AI in financial services
- Understanding the four components of the context gap and how these can be addressed
- How to bring real-time risk, regulatory compliance, and AI-driven decisioning onto a single, governed platform
- Exploring real-world use cases, including risk and fraud mitigation and regulatory compliance orchestration
- The role of Databricks Lakehouse, Genie, Agent Bricks, and Impetus Leap™ AI in your governance architecture
- A practical roadmap for CXOs to build a robust semantic foundation and activate trusted AI agents
Date: July 14, 2026
Time: 9:00 am PT
Donald Farmer