Case Study: Multi-Agent Systems for Financial Retirement Planning

In this technically rich session from the Artificial Unintelligence Conference 2025, Priyanka Shah (Senior AI Engineer, Avanade Australia) explores how multi-agent AI systems are reshaping the financial services landscape — from wealth management and portfolio optimization to compliance and client engagement.

Priyanka breaks down how distributed, specialized AI agents can collaborate to deliver more personalized, trustworthy, and efficient financial solutions. She highlights the importance of ethical interoperability, emphasizing that governance, transparency, and context management are just as critical as raw performance. The talk offers a compelling vision of how agentic systems can enable innovation in finance without compromising human oversight or regulatory integrity.

Key themes include:

Why multi-agent systems outperform single-model approaches in finance

How specialized agents can improve wealth planning and compliance

The role of “context persistence” in agent communication and reliability

Building ethical, auditable, and explainable agent architectures

Why human advisors remain essential in an AI-driven ecosystem