Multi-Agentic Systems for BFSI : Use Cases and Architecture Patterns
- Mark Miller
- Jul 23
- 2 min read
Updated: Jul 24
When it comes to designing multi-agentic systems for Finance organization, there is added complexity because of the nature of the data sources and regulatory and compliance policies. We need to take into consideration data residency requirements, AI governance, PII and CII masking, security and other such nuances.
In this session, let us look at Finance use cases using multi-agentic systems for hyper personalization, Financial guidance on retirement and taxation and RM advisory process augmentation. We will discuss about agent flows, agent architecture patterns, memory management and Agent Ops for evaluation of agents, with working demos.
Takeaways
Learn about Multi agent frameworks and patterns in BFSI setting.
Architecture for handling PII/CII data and orchestrating between on prem and cloud resources
Agent state management and evaluation
Priyanka's session, "Multi-Agentic systems for BFSI : A look at use cases and architecture patterns", will be streamed globally from Brisbane, Australia on September 16-17, 2025 as part of The Artificial UnIntelligence Conference.
About Priyanka Shah
Priyanka Shah is Senior AI Specialist at Avanade, 4* Microsoft AI MVP, Winner of Women in Tech ASIA (2023), Global speaker, author and blogger. She currently, leading AI/GENAI architecture across growth markets for Avanade Aus.
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