Leaders Roundtable: Agentic AI in Financial Services: Scaling Trusted AI on Sovereign, Governed Data Foundations

Financial services institutions in Malaysia are entering a new phase of AI adoption. AI is already being applied across KYC and onboarding, fraud detection, customer analytics, risk operations, claims, payments, and enterprise productivity. The next step change is toward agentic AI – systems that can reason across data, orchestrate multi-step workflows, and support faster, more consistent decision-making across the enterprise.

However, moving from AI pilots into production remains complex. Data is often spread across legacy systems, cloud platforms, business applications, and partner ecosystems. Integration remains inconsistent, and AI initiatives must operate within strict expectations for technology risk, data governance, privacy, security, and operational resilience. The challenge has shifted from identifying AI use cases to enabling them to run reliably, securely, and in production environments.

Ecosystm research highlights these pressures among Malaysian BFSI organisations:

  • 53% cite keeping pace with regulatory and compliance requirements as a key barrier
  • 47% highlight data privacy and security concerns
  • 47% point to the cost and complexity of integrating data across environments
 

Join us for this exclusive, invitation-only executive roundtable as we bring together senior leaders to discuss how Malaysia’s financial services sector can build the foundations for agentic AI while meeting the demands of sovereignty, governance, speed, and scale.

The discussion will cover:

  • Agentic workflows in financial services. How autonomous workflows can reshape fraud investigation, transaction processing, underwriting, claims, compliance, and customer operations.
  • Sovereign data control for trusted AI. Aligning innovation with regulatory expectations across data residency, privacy, security, and governance.
  • Connected enterprise data. Linking data across core banking, payments, insurance, CRM, risk, and operations to improve decisioning.
  • Operationalising AI in production. Moving beyond experiments through governed data access, modern architectures, ecosystem integration, and enterprise-grade controls.

As Malaysia strengthens its digital infrastructure and AI agenda, this roundtable brings senior leaders together to share perspectives on translating AI intentions into secure, production-ready outcomes.

Snowflake is a cloud-based data platform and data warehouse that enables organizations to store, process, and analyze large volumes of data.

Amazon Web Services (AWS) represents Amazon’s cloud computing platform, enabling individuals and organizations to access essential IT resources including storage solutions, computing power, and database management via internet connectivity.

Sash Mukherjee

VP Industry Insights, 

Ecosystm

Kaushik G

Head of Financial Services, APJ, Snowflake

Alan Chiew

Country Manager, Malaysia, Snowflake

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