Multi-agent Orchestration: The Key to Scalable Agentic Intelligence
In complex, highly regulated sectors like insurance, healthcare, banking, and utilities, managing fragmented and complex data is not a challenge, it’s the status quo. The shift from rigid, linear automation to autonomous AI agents working in parallel is transforming how regulated industries innovate, stay compliant, and respond to dynamic challenges. Multi-agent orchestration is no longer optional, it’s essential for scalable AI-powered operations.
Learn more with this report from Everest Group and EXL, which tackles key questions for multi-agent orchestration:
From single to multi-agent systems:
<p>Learn how single agents fall short in impact and scalability, and how a multi-agent architecture—via shared context, dynamic agent collaboration, and governance layers—powers adaptive workflows and enhances real-time decision-making.</p>
Adoption across ecosystems:
<p>Explore how enterprises can implement multi-agent orchestration internally, across providers, and between organizations - tailoring approaches based on architecture, execution patterns, and adaptability needs.</p>
Real-world use cases:
<p>Witness how multi-agent orchestration enhances speed, accuracy, and compliance in complex claims workflows by automating intake, validation, fraud detection, and decision making - all with continuous learning and oversight.</p>
Key considerations for success:
<p>Get expert insights on designing for scale, building strong foundations, and ensuring long-term adaptability and trustworthiness in a multi-agent system.</p>