As financial institutions face increasing regulatory pressure, rising data complexity and growing demands for real-time decision-making, traditional approaches to data management are no longer sufficient.
Manual, people-driven data governance models are costly to scale, difficult to maintain and increasingly unable to deliver the agility, transparency and control firms require.
Hosted by Capco and SFE, this event brings together professionals from across Scotland’s financial services sector to explore how Agentic Data Management is reshaping the future of enterprise data governance.
The session will examine how autonomous AI agents can transform core data management activities, from metadata discovery and lineage mapping to data quality monitoring, root cause analysis and issue resolution. This enables organisations to govern data at scale while reducing operational burden and improving regulatory confidence.
Featuring expert speakers, attendees will gain practical insight into how firms can move beyond traditional data governance models toward intelligent, goal-driven systems capable of continuous learning, automation and real-time decision support. The event will also showcase examples of tangible business outcomes, including operational efficiencies, faster exception resolution and significant reductions in manual effort.
Why Attend
Understand how Agentic AI is transforming enterprise data management and governance
Learn how financial institutions can scale data control while reducing operational complexity and cost
Explore practical use cases across transaction reporting, data quality management and exception handling
Gain insight into how firms can improve regulatory readiness through autonomous controls and continuous monitoring
Understand the potential efficiency gains, cost savings and productivity improvements enabled by agentic operating models
Hear directly from Capco experts on the future operating model for data management functions
Key Discussion Topics
Why traditional data management approaches are no longer sustainable
The evolution from manual data governance to autonomous, AI-driven data management
Agentic AI architectures and the role of intelligent orchestration
AI-powered metadata management, lineage and data quality monitoring
Autonomous exception identification, root cause analysis and remediation
Human-in-the-loop governance and regulatory assurance
Practical applications for transaction reporting and critical data elements (CDEs)
Learning Outcomes
Attendees will leave with:
A clearer understanding of the impact of Agentic AI on Data Management
Insight into how AI agents can enhance data governance, controls and operational efficiency
Practical examples of how firms can accelerate data transformation initiatives
A view of emerging best practices for intelligent, scalable data management operating models
Speakers
David McFarlane
Managing Principal, Capco
Chris Shields
Associate Partner, Capco
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