Synopsis: In this Techstrong.ai Leadership Insights interview, KamiwazaAI Field CTO James Urquhart explains why orchestration frameworks will play a critical role in enabling organizations to manage thousands of artificial intelligence (AI) agents.
James Urquhart discusses one of the biggest challenges facing enterprises: orchestrating the explosion of autonomous AI agents that are beginning to populate modern workflows.
Urquhart says the industry is at the threshold of a new operational paradigm. In the near future, enterprises could be managing thousands—or even millions—of AI agents performing specialized tasks across departments, data systems, and business processes. The problem, he argues, isn’t building these agents—it’s coordinating them.
Many teams today can spin up an agent or embed one into a workflow, but few have a strategy for managing communication, dependencies, or governance at scale. Without orchestration, Urquhart warns, organizations risk creating chaos: agents duplicating work, acting on stale data, or conflicting with human decisions.
KamiwazaAI’s focus is on solving this orchestration layer. The company envisions a platform that dynamically manages agent lifecycles—how they spin up, share context, authenticate, and retire—while maintaining compliance and observability. This layer, Urquhart explains, will be as foundational to the AI era as Kubernetes was to containerized computing.
He also notes that this orchestration challenge isn’t just technical—it’s organizational. Success will depend on building trust frameworks, clear rules for human oversight, and transparency into how agents interact with data and each other.
The conversation underscores a growing truth: as AI agents multiply, the winners won’t just be those who build smarter agents, but those who manage them intelligently. Orchestration, Urquhart argues, will define the next frontier of enterprise AI maturity.
