OrchestrateAI: A Multi-Agent AI System with Model Context Protocol (MCP) for Automated Credit Decision-Making
Please join us for an exciting and insightful technical talk organized by IEEE Lafayette Section in collaboration with IEEE LTU Student Branch
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- Starts 05 November 2026 06:00 AM UTC
- Ends 12 November 2026 06:00 AM UTC
- No Admission Charge
Speakers
Ravi Kiran Kanneganti
OrchestrateAI: A Multi-Agent AI System with Model Context Protocol (MCP) for Automated Credit Decision-Making
OrchestrateAI Credit Decision Agent is an enterprise-grade, multi-agent artificial intelligence system designed to automate credit application processing, risk evaluation, decision-making, and compliance auditing. Powered by AWS Bedrock and Anthropic Claude models (Haiku and Sonnet), the platform implements a sequential 4-agent orchestration pipeline backed by a Model Context Protocol (MCP) server architecture for secure, standardized database operations
Biography:
Kanneganti Ravi Kiran is a Senior Manager and Enterprise IT Architect at Capgemini America Inc., Texas, with over 20 years of experience in enterprise software development, workflow automation, and distributed systems. His work focuses on IBM FileNet P8, IBM Business Automation Workflow (BAW), cloud migration strategies on AWS, and AI-driven decision intelligence frameworks for smart dispute allocations and resolution. He has contributed research to IEEE venues, serves as a peer reviewer for scholarly computer science journals, and He has published research papers in IEEE and Springer venues.