WHEN: March 26, 2026 | 8:30 AM PT | 45 Minutes | Live, Online FORMAT: Hands-on workshop driving real decisions and measurable outcomes About Event: Financial institutions spend significant time and budget preparing Critical Data Elements (CDEs) for BCBS239 reporting and regulatory oversight.As regulatory scrutiny increases, spreadsheet-driven CDE tracking becomes more expensive and harder to sustain. Fragmented ownership and manual controls drive rising compliance overhead and avoidable remediation spend.
Organizations face a clear decision: How do we codify and continuously govern Critical Data Elements without increasing reporting spend, audit remediation cost, and manual effort?
In this Decision Lab, we’ll use a retail banking dataset relevant to BCB S239 policies to demonstrate how teams can cut CDE management time by up to 50% with application across other regulated industries.
In 45 minutes, you’ll see how teams:
Cut months of manual CDE tracking down to minutes
Reduce BCBS 239 reporting preparation time
Lower audit remediation and compliance overhead
Maintain audit-ready lineage without increasing headcount
Operationalize ownership and policy enforcement at scale
Why Attend? You’ll see how governance workflows are operationalized in practice, not just described, so you can evaluate how this approach fits within your current reporting and compliance environment.
What Is a Decision Lab? A Decision Lab is a live, online workshop built around a real business decision showing how teams operationalize trusted data to drive measurable outcomes. Participate hands-on or simply observe. No preparation required. What You’ll Need
A computer with internet access. For best experience, use Chrome or Edge.
We’ll provide optional access to a pre-configured lab environment during the session.
Who Should Join: Relevant across financial services, healthcare, manufacturing, energy, and other regulated industries.
Data Product Managers
Data Governance and Regulatory Reporting Leaders
Risk and Compliance teams
Analytics and AI Product Leaders
IT and Architecture leaders Space is limited to keep the session interactive. Reserve your spot!
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From Checking Boxes to

Whitepaper
Enterprises face rising pressure to turn AI investments into real business outcomes. But it’s not AI models or agentic tools that block scalability and success; it’s the missing context, semantics, policies, and decision history that AI agents need to deliver accurate, defensible outcomes.

Datasheet
AI is rapidly moving from analysis to action, driving mission-critical workflows across your organization. But, even with access to enterprise data, do your agents have the institutional knowledge required to deliver accurate, defensible outcomes?