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UiPath Emphasizes Business-Orchestration Layer as AI Matures
When the next wave of AI rolls out, it won’t be new models that propel enterprises forward—it will be the invisible layer that stitches robots, APIs, legacy systems, and human workers into a single, governed flow.
In a recent conversation with ETCIO’s Muqbil Ahmar, UiPath’s senior regional vice‑president Rajesh Undaviya and director of solutions engineering Sharath Keshavamurthy outlined how the industry has shifted from isolated task automation to end‑to‑end business processes.
Task automation, built on robotic process automation (RPA), proved reliable for repeating predefined steps but was brittle when exceptions arose. Adding AI to individual steps—such as document classification—did not resolve the problem because the intelligence remained trapped in a single task.
Agentic AI, capable of reasoning across an entire problem, advanced the field further, yet, according to Keshavamurthy, “does not take action.” The reasoning alone is insufficient to coordinate people, systems, and decisions across a business.
UiPath’s answer is its Business Orchestration and Automation Technologies (BOAT) platform. BOAT integrates humans, robots, enterprise applications, and legacy systems into a single governed flow—a “system of action” that the company says is essential for delivering measurable returns.
Legacy systems remain a major hurdle for many Indian enterprises. Systems that lack modern APIs—often called “black‑screen” mainframes—must still be bridged by RPA. The orchestration layer does not favor one technology over another; it provides a single thread that connects AI agents, APIs, automation, and legacy applications.
The shift also reshapes engineering teams. While coding agents can generate routine code, Keshavamurthy notes that developers are being redeployed rather than replaced. Their focus moves from writing boilerplate to designing architecture, defining business logic, validating AI output, and building governance frameworks.
Governance emerges as a core requirement for autonomous AI. In sectors where a wrong decision can have serious consequences—finance, healthcare, regulated industries—UiPath stresses that governance must be built into the system from day one. The platform must understand business exceptions, reach every system involved, and record every action for auditability.
Undaviya adds that enterprises are now making AI a boardroom agenda. Investment decisions involve both business and technology leaders, and metrics have shifted from productivity gains to cycle times, customer satisfaction, and broader business outcomes.
UiPath’s public statements reinforce this narrative. In a May 2026 press release, the company announced the launch of its first business‑orchestration platform with native integration for coding agents, positioning it as a solution that unlocks enterprise transformation at scale.
The company’s emphasis on governance aligns with broader regulatory trends. The European Union’s Artificial Intelligence Act, which entered force in August 2024, imposes transparency, security, and quality obligations on high‑risk AI systems. In the United States, executive orders and state‑level legislation increasingly require auditability and accountability for AI deployments.
For enterprises, the practical implication is clear: simply adopting a new AI model is insufficient. They must invest in an orchestration layer that can connect new AI capabilities to existing infrastructure, embed human judgment where necessary, and provide a clear audit trail.
UiPath’s platform is positioned to meet these needs. Its documentation describes a low‑code, collaborative environment that supports modular, reusable components and offers built‑in trust, reliability, governance, auditability, and system resilience.
In summary, UiPath argues that the real race in AI is not about the fastest model but about the ability to scale AI reliably across an organization. The company’s orchestration platform is presented as the foundation that enables enterprises to deploy AI at scale, maintain governance, and achieve measurable business outcomes.
The next few months will see several large enterprises testing UiPath’s orchestration capabilities in pilot projects. The company’s upcoming earnings report will likely provide further insight into how its new platform is being adopted and its impact on revenue streams.
In a recent conversation with ETCIO’s Muqbil Ahmar, UiPath’s senior regional vice‑president Rajesh Undaviya and director of solutions engineering Sharath Keshavamurthy outlined how the industry has shifted from isolated task automation to end‑to‑end business processes.
Task automation, built on robotic process automation (RPA), proved reliable for repeating predefined steps but was brittle when exceptions arose. Adding AI to individual steps—such as document classification—did not resolve the problem because the intelligence remained trapped in a single task.
Agentic AI, capable of reasoning across an entire problem, advanced the field further, yet, according to Keshavamurthy, “does not take action.” The reasoning alone is insufficient to coordinate people, systems, and decisions across a business.
UiPath’s answer is its Business Orchestration and Automation Technologies (BOAT) platform. BOAT integrates humans, robots, enterprise applications, and legacy systems into a single governed flow—a “system of action” that the company says is essential for delivering measurable returns.
Legacy systems remain a major hurdle for many Indian enterprises. Systems that lack modern APIs—often called “black‑screen” mainframes—must still be bridged by RPA. The orchestration layer does not favor one technology over another; it provides a single thread that connects AI agents, APIs, automation, and legacy applications.
The shift also reshapes engineering teams. While coding agents can generate routine code, Keshavamurthy notes that developers are being redeployed rather than replaced. Their focus moves from writing boilerplate to designing architecture, defining business logic, validating AI output, and building governance frameworks.
Governance emerges as a core requirement for autonomous AI. In sectors where a wrong decision can have serious consequences—finance, healthcare, regulated industries—UiPath stresses that governance must be built into the system from day one. The platform must understand business exceptions, reach every system involved, and record every action for auditability.
Undaviya adds that enterprises are now making AI a boardroom agenda. Investment decisions involve both business and technology leaders, and metrics have shifted from productivity gains to cycle times, customer satisfaction, and broader business outcomes.
UiPath’s public statements reinforce this narrative. In a May 2026 press release, the company announced the launch of its first business‑orchestration platform with native integration for coding agents, positioning it as a solution that unlocks enterprise transformation at scale.
The company’s emphasis on governance aligns with broader regulatory trends. The European Union’s Artificial Intelligence Act, which entered force in August 2024, imposes transparency, security, and quality obligations on high‑risk AI systems. In the United States, executive orders and state‑level legislation increasingly require auditability and accountability for AI deployments.
For enterprises, the practical implication is clear: simply adopting a new AI model is insufficient. They must invest in an orchestration layer that can connect new AI capabilities to existing infrastructure, embed human judgment where necessary, and provide a clear audit trail.
UiPath’s platform is positioned to meet these needs. Its documentation describes a low‑code, collaborative environment that supports modular, reusable components and offers built‑in trust, reliability, governance, auditability, and system resilience.
In summary, UiPath argues that the real race in AI is not about the fastest model but about the ability to scale AI reliably across an organization. The company’s orchestration platform is presented as the foundation that enables enterprises to deploy AI at scale, maintain governance, and achieve measurable business outcomes.
The next few months will see several large enterprises testing UiPath’s orchestration capabilities in pilot projects. The company’s upcoming earnings report will likely provide further insight into how its new platform is being adopted and its impact on revenue streams.
