UiPath named a Leader in the Gartner® Magic Quadrant™ for Business Orchestration and Automation Technologies (BOAT)

We spent years building the layer that turns AI into work that gets done. Then we built the layer that coordinates it, before most of the market knew it would need one. That second layer is what enterprise work is now organizing around.

AI agents can reason, decide, and act. Put them next to the systems, automations, and people that already run a business, and a question appears that intelligence alone does not answer: who coordinates all of it?

That coordination layer is now a distinct enterprise technology category, business orchestration and automation, and it is what the UiPath Platform™ is built for.

UiPath has been named a Leader in the Gartner® Magic Quadrant™ for Business Orchestration and Automation Technologies (BOAT). Here is what we feel it confirms.

The orchestration gap

To us, the recognition tracks a change already underway in how enterprises operate. AI has changed the actors inside the enterprise. Orchestrating their work is the challenge that follows.

It is a challenge that has been building for years. Enterprises invested in technologies that each perform one piece of work: automation executes tasks, integrations connect systems, models generate and reason, and agents increasingly decide and act. None of them owns the end-to-end process.

Companies were designed for people who fill in the gaps. Someone knows what a customer promise actually commits us to, which exception changes the path, who owns a decision, and what can safely happen next. None of that was written down, because it never had to be. People carried it in judgment, memory, and relationships. AI inherits none of it. Orchestration is where a company makes that knowledge explicit enough to be acted on.

That layer has to understand the process, coordinate what happens next, keep work moving when something breaks, and govern every actor involved.

How we built for it

UiPath is the business orchestration and automation platform built to coordinate work across people, agents, robots, APIs, models, and systems, end to end. The people responsible for the outcome can see where work stands, what needs attention, and what happened when something went wrong.

Our AI-native approach is built around three things the agentic enterprise requires.

Process authority. Ask most teams where a process is defined and you get a workflow diagram, a policy document, and three people's memory. AI needs the context, rules, judgment, and durable execution that define how a business operates, and they have to exist somewhere it can reach. UiPath brings deterministic workflows, adaptive case management, and agentic decisions together so organizations can coordinate the entire process rather than automate a single task.

An open and extensible ecosystem. The model you pick this quarter will not be the model you run next year. Enterprises operate on a mix of models, agents, development environments, and generations of technology (and much of that mix sits beside a mainframe or a legacy screen nobody wants to touch). UiPath is designed to execute across modern APIs, services connected through Model Context Protocol (MCP), AI agents, legacy user interfaces (UIs), mainframes, human work, and code. Customers can change models and tools without rebuilding the process around them.

Enterprise governance. More agency requires more accountability. Organizations need to know what their agents did, which policies were enforced, when a human intervened, and what business outcome resulted. UiPath provides governance across humans, agents, and systems, with runtime guardrails, auditability, policy enforcement, and visibility into outcomes.

Together, these capabilities let an enterprise operate its intelligent technologies as one.

The strategy behind the position

In our view, our recognition as a Leader in the Gartner® Magic Quadrant™ for Business Orchestration and Automation Technologies (BOAT) is a signal about where the market is heading, and about a balanced strategy we have been pursuing for years.

The balance is deliberate. AI reasons through ambiguity; automation executes critical work with precision. Enterprises need both, and a platform has to be built for both from the start.

Orchestration is where this starts. Once a company can coordinate its work, the next question is what that coordination draws on: the knowledge it has never written down, the judgment its people carry, the particulars of its industry. That is what the new layer enables. We believe that being recognized here tells us the foundation is right. Now we build on it.

What this means for the automations you've already built

Underneath every agent conversation in your company right now is a question about the automation you have already built: does that investment still count?

It does. Every automation already running in production can become a step inside a larger orchestrated process: called by an agent, governed by policy, visible to the people accountable for the outcome. The work stays where it is and starts being coordinated.

That holds as the technology keeps moving. Models, agents, and interfaces will keep changing. The orchestration layer stays constant, holding the state, policy, and recovery logic that keep the business running. The harder question is whether the company has somewhere to put the answer once a model produces one.

The coordination advantage

I have been early on this before. I am confident about the shape of what comes next. The companies that do well with AI will not be the ones with the best models. They will be the ones that can say clearly how their work gets done, and let anything, human or not, act on it. Most companies cannot say that yet.

Getting there is a platform decision, and I think it is the most consequential one an enterprise will make this year.

If you are making that decision, the full Gartner® Magic Quadrant™ for Business Orchestration and Automation Technologies is worth reading. Get your complimentary copy of the report.

Gartner, Magic Quadrant for Business Orchestration and Automation Technologies, Saikat Ray, Arthur Villa, Sachin Joshi, Adam Briggs, Tushar Srivastava, Mike Warren, 14 September 2026

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This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from UIPATH-NY.