UiPath Unveils Enterprise-Grade Platform for Agentic Automation

UiPath's new orchestrator guides AI agents to follow your enterprise's rules

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More By now, many enterprises have begun exploring AI agents and determining whether deploying them is a viable option for their business. But many still equate agents with something most companies have had for years: automation. Automation pioneer UiPath sees agents and orchestrating the entire ecosystem -- a little differently. The company announced its new UiPath Platform for Agentic Automation. However, it made clear that agents are not a new version of robotic process automation (RPA); rather, they are another tool that enterprises can integrate with RPA to complete workflows. Daniel Dines, UiPath founder and CEO, told VentureBeat in an interview that agents cannot be fully automated as they are built today. "The big problem with LLMs today is that they are nondeterministic, so you cannot run them directly in an autonomous fashion," Dines said. "If you look at most implementations of agents, these are actually chatbots. So we're moving from chat in, chat out to an agent that is data in, action out, where we orchestrate between agents, humans and robots." Key to UiPath's offering is its AI orchestration layer, Maestro. It oversees the flow of information from agents to the human employee to the automation layer. UiPath described Maestro as a centralized supervisor who "automates, models and optimizes complex business processes" and monitors performance. Breaking down agents and automation Maestro takes user prompts and breaks down the process into manageable steps to complete it. Instead of allowing agents to access information indiscriminately, Dines said Maestro has three steps. Dines said Maestro makes the workflow more transparent and accountable because a human remains in the loop and a rules-based RPA finishes the task. For UiPath, separating agents that take in data to make a recommendation from the automation that acts upon that recommendation ensures enterprises don't let agents have unfettered access to their entire system. "I think it's a very powerful way for enterprises to adopt agents. And look, in many discussions with clients, I think they resonate very well because they are really concerned about the unlimited agency of agents," Dines said. UiPath also integrates with the orchestration framework provider LangChain to offer open, multi-agent frameworks. The Platform for Agentic Automation also works with Anthropic and Microsoft frameworks, with UiPath being part of Google's Agent-to-Agent protocol. Not every agent is automation Dines insists that thinking about agents as a complete stack solution, where the agents read the data and then take action, "Agents being nondeterministic in nature are transactional; they create effects on the underlying systems. No client I know will take risks on this," Dines said. "Transactions should be 100% reliable, and only automations can offer this type of reliability. So our solution is the best of those worlds." He added that "maybe in some future" agentic AI "will become more reliable, and some actions you can you can delegate to agents, but it should be a progression." Others in the industry believe that agents are the next evolution of automation. In fact, the entire premise of agentic AI is to have a system that does things on the user's behalf. A secondary goal for many is to have "ambient" agents, where AI agents run in the background, proactively act for the user and alert people to any changes that need their attention. UiPath, however, still needs to make a case that its approach to agents is more effective than all-in-one agent offerings and cuts through the hype surrounding agents that do everything for users. Companies like ServiceNow, Salesforce, Writer and Microsoft have all released agentic platforms aimed at enterprise users. Writer's new platform relies on self-evolving models for autonomous agents. Enterprises also showed excitement around the idea that AI agents could streamline much of their work and automate many manual tasks in companies.

UIPath plunges into agentic AI with development and orchestration platform - SiliconANGLE

UIPath plunges into agentic AI with development and orchestration platform UIPath Inc. is putting meat on the bones of the plans it announced last October to enter the agentic artificial intelligence market with today's rollout of what it calls a comprehensive platform for building and orchestrating teams of AI agents. The platform is crucial to the robotic process automation company as it struggles to return to its historically high growth rates. Customers' attention has lately turned to agents that can perform complex tasks with minimal supervision, potentially replacing RPA in many contexts. UIPath says its years of experience automating digital processes make it well-qualified to address the factors that inhibit organizations from using agents, including security and compliance risks, lack of reliability, scalability limits and fear of vendor lock-in. "The process-centric focus limits the number of players that can orchestrate end-to-end processes," said Mark Geene (pictured), senior vice president and general manager of AI products and platform at UIPath. "What we do with Maestro, our orchestration platform, is dynamically orchestrate across agents, robots and humans to execute a long-running workflow." Maestro is described as automating, modeling and optimizing complex business processes with built-in process intelligence and real-time key performance indicator monitoring to enable continuous optimization of fleets of agents. It uses process intelligence, a feature of UIPath's RPA offering that "understands how a process is running, where the bottlenecks are and how the process is routed," Geene said. "We find inefficiencies and make recommendations. It's not a static workflow, but can adapt at runtime." UIPath provides a set of predefined KPIs and customers can create their own. Maestro ensures AI agents operate within clearly defined guardrails of security, predictability and performance with governance, real-time vulnerability assessments, and data access controls built in. Developers can build prototype agents in UiPath Studio using supplied low-code tools and the Python programming language. "Rules are defined at the agent level as well as the orchestration level," Geene said. "I give the agent a goal, a context to guide it and policies to work with. We have built-in escalations, which means if the agent isn't certain what to do or its confidence is below a certain level it can reach out to a person." UiPath said its platform also integrates with and supports agents built with third-party agent frameworks from LangChain Inc., Anthropic PBC and Microsoft Corp. It can also automatically create orchestrations from processes defined in Business Process Model and Notation, a standardized graphical notation for business processes.. For document processing, a new Intelligent Xtraction & Processing function performs multi-modal, AI-based classification and extraction of unstructured data for uses like claims adjudication, loan origination and electronic batch records. UI Agent for computer use, which is in private preview, is a natural language-driven agent that understands user intent, plans multistep tasks and executes actions across interfaces autonomously. Geene said there is a learning curve to working with agents for developers who are familiar with traditional RPA. "Traditional automation is step-by-step," he said. "You want to give an agent more autonomy by not giving it a structured workflow. We've built a whole set of courses and templates that guide this new design approach and help you decide which type of worker is best for a particular step." UIPath's agentic automation platform is delivered from the company's cloud and requires no user infrastructure. Pricing is based on the frequency of workload execution and the number of tokens required.

When agents act with oversight - UiPath's bold bid for the future of enterprise orchestration

In boardrooms and IT departments alike, a hard truth is setting in: most so-called "smart assistants" aren't built for the messy, unpredictable world of the enterprise. While conversational bots and isolated agents can handle narrow tasks, they often falter across the complex, interdependent systems that define large organizations - where reliability, security, and human oversight are essential. UiPath's new Agentic Automation platform aims to address that challenge. CEO Daniel Dines calls it a "seminal launch," positioning UiPath not just as a creator of AI agents, but as a platform to manage and govern them at scale. At the core of the UiPath Agentic Automation platform is Maestro, a new orchestration engine designed specifically for enterprise workflows. Maestro tracks every step in a process, enabling live intervention - teams can pause, resume, upgrade, or reroute workflows without starting over. It also delivers real-time diagnostics, surfacing bottlenecks, failure points, and agent performance data across multiple instances. This orchestration enables what UiPath calls controlled agency - agents that can make decisions, but within clear guardrails and with full visibility for human supervisors. As Dines puts it, this marks the first time UiPath can offer "end-to-end process automation, putting people in the seat of a conductor." For developers, the overhaul is more than a new interface. The underlying workflow engine has been rebuilt to support modern orchestration needs: state preservation, human-in-the-loop decision points, agent-to-agent chaining, and runtime migration. Crucially, it understands both code and low-code environments, allowing Python and TypeScript agents to run alongside drag-and-drop agents in the same workflows. Integration with open-source tools like LangChain and LangSmith brings another layer of sophistication. LangChain is now a widely used framework for building AI agents that interact with external systems, while LangSmith helps teams test and monitor large language model (LLM) applications moving into production. A noteable feature is UiPath's synthetic testing environment, which allows agents to operate under simulated production conditions, including failure scenarios. Why is this significant? As claimed during the launch demonstration: The ability to simulate failure conditions - so that the agent believes it's operating in production while actually running in a synthetic environment - is a game changer for reliability. While synthetic testing is common in AI and chaos engineering is an established practice for systems resilience, applying synthetic environments specifically to test agent decision-making under enterprise conditions seems to be a novel feature in commercial automation platforms. In a conversation with CMO Bobby Patrick last week, we agreed that the market has been flooded with what he bluntly calls "agentic washing" - vendors overpromising thinly built AI capabilities. UiPath, by contrast, is building on its legacy in robotic process automation (RPA). As Patrick explains: Robots don't make decisions, but they execute workflows on behalf of humans. Agents can handle what robots never could - curation, context, creative analysis. This distinction is key. While RPA bots handle deterministic, rule-based work, agents bring reasoning and adaptability. UiPath's strategy is not to replace one with the other but to combine them - orchestrating bots, agents, and humans together under Maestro. UiPath didn't rush its agentic automation platform to market. As Patrick explained: We could have rushed out a product at the end of last year, but we said, 'Let's get it right.' The company spent about five months in preview, working with hundreds of customers to iterate on feedback before the public launch. That extended preview period, Patrick argues, means this release is "not really a version one" compared to other agent launches in the market. While customers are still in the early stages - often piloting agents in parallel with existing robotic process automation (RPA) bots - Patrick points to promising early outcomes, particularly as agents take on complex tasks that robots couldn't handle. Looking ahead, UiPath's challenge may not be convincing existing customers, many of whom are familiar with its developer tools, but rather winning over new enterprises. The vendor isn't being shy about engaging new users - the company is encouraging potential customers to run proofs of concept and "bake-offs" against competitors, betting that its emphasis on governance, compliance, and what it calls "controlled agency" - the ability to rein in agent risk and target 95% accuracy - will set it apart. Practical use cases help ground these ideas. In financial services, loan eligibility assessments have traditionally involved manual review of credit scores, income data, and risk factors. UiPath's demo showed agents performing the initial review, gathering and evaluating data, and producing recommendations - freeing human officers to focus on final decisions and exceptions. In healthcare, agents assist with revenue cycle management, verifying insurance eligibility, checking claim status, and flagging discrepancies to reduce administrative backlogs. UiPath customer PromptCare, for instance, is using agentic automation to streamline billing and claims processing. Even in customer service, agents are delivering results. Wex, a global commerce platform, uses UiPath agents to accelerate the delivery of customer insights, improving service speed without sacrificing accuracy. Importantly, these agents are designed to escalate uncertain cases to humans rather than making irreversible decisions - a design choice that helps preserve trust and accountability. Agent development begins with UiPath's Agent Builder, which supports both low-code and full-code approaches. Less technical users can assemble agents using prompt-driven tools and Autopilot, while experienced developers can build in Python or TypeScript using frameworks like LangChain and LangGraph. A notable architectural decision is that externally built agents still benefit from UiPath's enterprise features - including security, auditability, and governance. As Dines explains: It's a testament to our architecture... to securely take a Python agent and run it with the same level of enterprise oversight as our robots. The stakes go beyond which tool has the flashiest agent demo. The questions are structural: Does this system integrate with existing governance models? Can it scale across real-world processes? Can agents fail safely? Can they be monitored, tuned, and retrained over time? UiPath's position is that its platform can answer "yes" to all of the above -- because it has engineered the stack from the ground up, not just polished the user interface. Patrick underscores this point: Governance, accuracy, reliability... those things matter to companies. That's where we'll win. During the webcast Q&A, Daniel Dines was asked directly whether the rise of agents meant that "robots are dead." His response was unequivocal: No, robots are not dead. Robots and agents serve different purposes. Robots are deterministic - they do what they're told and are incredibly reliable. They're still the best tool for rule-based, repeatable work. Agents bring in reasoning and non-determinism. But they're not replacements; they're collaborators. UiPath is not trying to kill its RPA legacy - it's evolving it. The path to intelligent automation isn't about abandoning bots, but about expanding what automation can handle through orchestration. What stands out to me is that Agent Builder will be accessible for anyone to try. UiPath's invitation to test its capabilities here isn't hiding behind a price tag - it's an open call to users to examine the transparency of its offer without a price tag up front. As Dines acknowledged, this stage of the company's journey - its Act Two - is just beginning. UiPath's ability to deliver enterprise value from its agentic vision will depend not only on technology, but on helping customers strike the right balance between automation and human oversight. The market test is still to come, but UiPath says over 75,000 agent runs have taken place since January's preview, with early adopters like Cathay Pacific, Wex, and PromptCare moving from pilots into production. As with RPA's early days, the ultimate proof will be in the messy reality of live operations.

UiPath Launches the First Enterprise-Grade Platform for Agentic Automation

Breaks down the barriers to enterprise AI adoption by enhancing security and compliance, improving accuracy and reliability, overcoming stalled pilot projects, and avoiding vendor lock-in Blends low-code simplicity with pro-code power, enabling developers to build and deploy enterprise agents at scale Delivers advanced orchestration by seamlessly integrating agents, robots, and people to create true agentic workflows Builds on the world's largest platform for enterprise automation, already trusted by more than 10,000 leading organizations UiPath (NYSE: PATH), a global leader in agentic automation, today launched its next-generation UiPath Platform™ for agentic automation, a groundbreaking platform designed to unify AI agents, robots, and people on a single intelligent system. With open and secure orchestration at its core, the platform transforms workflows by enabling the creation, deployment, and management of highly reliable AI agents, robots and people with unmatched scalability, flexibility, and compliance. The UiPath Platform for agentic automation is easily accessible through a free trial on uipath.com, enabling everyone to begin building, deploying, and managing agents. Select capabilities will remain in preview and are expected to reach general availability throughout May. Breaking Down the Barriers to Enterprise AI While conversational AI and agent-based assistants have demonstrated isolated value, scaling AI across the enterprise has remained elusive. Key blockers include security and compliance risks, lack of reliability, stalled pilot programs, and fear of vendor lock-in. The new UiPath Platform directly addresses these challenges, combining decades of leadership in automation with a new, agentic architecture that is purpose-built for business-critical workflows. "With this launch, we fully enter our second act," said Daniel Dines, Founder and CEO of UiPath. "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. That's where UiPath leads. But we also lead in empowering people -- to be more creative, more productive -- and to reach their full potential. That's where UiPath's mission continues." What Is Agentic Automation? Agentic automation brings together proven RPA, AI models, and human expertise into cohesive workflows where people, robots, and AI agents work synergistically to optimize processes and drive enterprise efficiency. These agentic workflows are intelligent, adaptive, and governed -- enabling automation that is not only powerful, but trusted. Key Capabilities of the UiPath Platform for Agentic Automation UiPath Maestro™ -- Seamless Orchestration for AI Agents, Robots, and People UiPath Maestro is the new orchestration layer at the heart of the platform. It automates, models, and optimizes complex business processes end to end with built-in process intelligence and KPI monitoring to enable continuous optimization. Maestro provides the centralized oversight needed to safely scale AI-powered agents across systems and teams. Agentic Workflows You Can Trust Through a controlled agency model, UiPath ensures AI agents operate within clearly defined guardrails -- ensuring security, predictability, and performance. The platform features robust governance, real-time vulnerability assessments, and stringent data access controls to protect enterprise environments. "We are targeting 95%+ agent accuracy with every launch. Reliability and trustworthiness are core to our Agent Builder roadmap, and we're focused on delivering agents capable of human-level performance -- with the right controls in place," commented Raghu Malpani, Chief Technology Officer at UiPath. Power for All Developers -- From Low Code to Full Code The platform empowers business technologists and seasoned developers alike with intuitive low-code tools and advanced coding environments. Developers can rapidly prototype agents in UiPath Agent Builder within UiPath Studio, while having the opportunity to customize when needed. This means both technically oriented business professionals and experienced programmers can easily create sophisticated, scalable automations that can adapt to complex business requirements and evolving enterprise needs. "With Agent Builder, our developer community of more than three million professionals worldwide can build agents directly into existing workflows," noted Graham Sheldon, Chief Product Officer at UiPath. "We've also unlocked more powerful customization options for full-code developers -- expanding the horizon of what's possible." An Open, Multi-Agent Framework for the Enterprise UiPath integrates with third-party agent frameworks including LangChain, Anthropic, and Microsoft, supporting sophisticated multi-agent systems that work across complex, cross-functional workflows. We partnered with Google Cloud on its new, open protocol called Agent2Agent (A2A), which will allow AI agents to communicate with each other, securely exchange information, and coordinate actions on top of various enterprise platforms or applications. This open approach breaks down silos and future-proofs enterprise automation strategies. Harrison Chase, CEO of LangChain, highlights the importance of this collaboration for the ecosystem: "We want to enable developers of all types to build agents. We've seen a key part of this be AI observability, and we're excited to integrate LangSmith with UiPath to help even more builders ship agents with confidence. Additionally, our collaboration with UiPath on the Agent Protocol ensures that LangGraph agents can seamlessly participate in UiPath automations, broadening their reach and enabling developers to build more cohesive, cross-platform workflows." Intelligent Document Processing at Scale The new UiPath IXP (Intelligent Xtraction & Processing) solution introduces multi-modal, AI-based classification and extraction for unstructured data. Built for high-complexity use cases like claims adjudication, loan origination, and electronic batch records, IXP brings enterprise-grade scale to document processing. Innovation in Agentic UI Automation and Performance With this latest release, UiPath has also introduced UI Agent for computer use, now in private preview -- a natural language-driven agent that understands user intent, plans multi-step tasks, and executes actions across interfaces autonomously. "By combining our deep heritage in UI Automation with the latest advances in agentic technology, we've built a UI Agent that doesn't just mimic clicks -- it understands intent, plans ahead, and takes action autonomously," added Malpani. "This is a major step forward in enabling agents that can navigate real-world enterprise interfaces with precision and purpose." Ecosystem Momentum Since the private preview was launched in January 2025, the UiPath Platform for agentic automation has seen rapid traction: Thousands of autonomous agents created with over 75,000 agent runs 11,000+ Academy agentic developer course enrollments 450+ partners that have started or completed agentic automation courses 30+ Fast Track (1) agentic automation partner badges awarded Hundreds of customer use cases identified and created "Our partnership with UiPath has elevated Cathay's digital leadership in the aviation industry by harnessing the full power of automation, AI, and generative AI," said Lawrence Fong, Director Digital and IT at Cathay. "Agentic automation is the next big leap in AI transformation that will allow companies to rapidly scale, make smarter decisions, and quickly adapt to changing business demands. Cutting-edge technologies will empower enterprises to go beyond workflows and into the realm of intelligent orchestration -- where AI doesn't just support the way people work, but completely transforms it." Join our corporate launch event today at 11:00 am EDT / 4:00pm BST, hosted by Daniel Dines here and read his latest blog. To learn more about our customers and partners supporting this launch please visit our blog. Hear from customers and partners at the UiPath DevCon virtual event on May 14. Register here to view the event. About UiPath UiPath (NYSE: PATH) is a global leader in agentic automation, empowering enterprises to harness the full potential of AI agents to autonomously execute and optimize complex business processes. The UiPath Platform™ uniquely combines controlled agency, developer flexibility, and seamless integration to help organizations scale agentic automation safely and confidently. Committed to security, governance, and interoperability, UiPath supports enterprises as they transition into a future where automation delivers on the full potential of AI to transform industries.