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UiPath CTO details “Controlled agency” concept that can help delegate work across different AI services by embedding AI agents within structured workflows, where deterministic tasks are handled by robots and non-deterministic tasks are delegated to agents

July 9, 2025 //  by Finnovate

An approach known as “controlled agency” can help us determine who (or what) does what in the workplace. In AI world, controlled agency is becoming a key mechanism for delegating work across different automation and intelligence services in much the same way. Working to apply this precise principle across his firm’s estate of technologies is Raghu Malpani in his role as chief technology officer at agentic automation company UiPath. “UiPath approaches controlled agency by embedding AI agents within structured workflows, where deterministic tasks are handled by [software] robots and only non-deterministic tasks are delegated to agents. This ensures agents are used where adaptive decision-making is actually needed. Agents are designed to be single-minded i.e. focused on narrow, well-scoped objectives. Complex workflows are composed of multiple such agents alongside deterministic automation, preserving clarity and modularity.” “We’ve built a platform that unifies AI, RPA and human decision making so companies can deliver smarter, more resilient workflows without added complexity. As models and chips commoditize, the value of AI moves up the stack to orchestration and intelligence.” UiPath Maestro is the orchestration layer that automates, models and optimizes complex business processes end-to-end with built-in process intelligence and key performance indicator monitoring to enable continuous optimization. Maestro provides the centralized oversight needed to scale AI-powered agents across systems and teams.

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