Accelerating Agentic Journeys in Financial Services with Microsoft AI
Microsoft Events presents how top financial services partners accelerate agentic journeys using Microsoft AI technologies, with a focus on Copilot Studio and real-world case studies like Morningstar.
Accelerating Agentic Journeys in Financial Services with Microsoft AI
Speakers: Jared Lambert, Hemanth Sundararaj, Adam Wheat
Session: PBRK393, Microsoft Ignite 2025
Overview
This session explores how frontier partners in the financial services industry are leveraging Microsoft AI solutions—especially Copilot Studio—to build intelligent agents that address banking, capital markets, and insurance challenges. Case studies such as Morningstar illustrate how data, integration, and AI tools drive business value and digital transformation.
Agenda & Chapters
- AI Use Cases in Financial Services:
Introducing intelligent agent applications across banking, capital markets, and insurance. - Three Phases of AI Adoption:
- Assisted work
- Agent collaboration
- Autonomous operations
- Project Tips and Recommendations:
Focus on agent intent, constructing robust responses, and designing effective conversational interfaces. - Extending Copilot:
Using connectors to power client-specific agents and enable advanced automation. - Morningstar Case Study:
- Overview of Morningstar’s mission
- The importance of data as a core asset
- Integrating client holdings using the MCP Server
- Deploying agents for client-centric analytics
- Real-world demo analyzing Microsoft stock exposure
Resources and Further Learning
- Copilot Studio Overview
- Microsoft AI Cloud Partner Program
- Responsible AI with Azure AI Foundry
- Microsoft Cloud for Financial Services
Audience & Relevance
This intermediate (Level 200) breakout is relevant for architects, developers, and innovators in financial services seeking actionable strategies for implementing Microsoft AI—especially agent-based solutions and Copilot Studio extensions.
Related Sessions
Key Takeaways
- Building and deploying agents using Microsoft AI and Copilot Studio
- The role of data integration and MCP in powering intelligent solutions
- Industry best practices for AI adoption at scale
- Real-world business impact demonstrated through the Morningstar use case