UiPath Automation Suite™ Delivers On-Premises Agentic AI for the Public Sector

Key Terms

agentic AI technical

Agentic AI refers to computer systems that can make their own decisions and take actions without needing someone to tell them what to do each time. It's like giving a robot a degree of independence to solve problems or achieve goals on its own, which matters because it could change how we work and interact with technology in everyday life.

robotic process automation (RPA) technical

Robotic process automation (RPA) is software that mimics routine human tasks—like copying data between systems, filling forms, or approving standard requests—so computers can perform them automatically. For investors, RPA matters because it can reduce labor costs, speed up operations, and cut errors without big IT projects, improving profit margins and scalability; however, it can also change staffing needs and requires oversight to manage risks and maintenance.

large language models (LLMs) technical

Large language models (LLMs) are advanced computer programs trained on massive amounts of text to generate, summarize, translate and understand human-like language. For investors they matter because LLMs can act like a very fast, experienced research assistant—automating customer service, speeding product development and cutting costs—while also creating new revenue opportunities and regulatory, accuracy and ethical risks that can affect a company’s profits and reputation.

FedRAMP regulatory

FedRAMP (Federal Risk and Authorization Management Program) is a U.S. government initiative that sets security standards for cloud computing services used by federal agencies. It ensures that these online platforms protect sensitive information, similar to how a security system safeguards a building. For investors, FedRAMP indicates that a cloud service meets strict security requirements, which can influence its reliability and trustworthiness in handling data.

ISO/IEC 42001 technical

ISO/IEC 42001 is an international standard that sets out requirements for an organization’s management system for artificial intelligence, like a safety and quality manual for how AI is developed, deployed and overseen. For investors it matters because certification or alignment with the standard signals that a company has processes to reduce legal, ethical and operational risks from AI—similar to a vehicle’s inspection showing it’s roadworthy—helping protect value and reputation.

software development lifecycle (SDLC) technical

A software development lifecycle (SDLC) is a repeatable process that guides how a company plans, builds, tests, launches and maintains a software product, like following a recipe or a construction blueprint to ensure each step is done in order. Investors care because a disciplined SDLC reduces costly mistakes, speeds time-to-market, helps meet regulatory and security requirements, and gives a clearer picture of development costs, timelines and operational risk.

orchestration technical

Orchestration is the coordinated management of multiple tasks, systems or teams so they work together smoothly, like a conductor ensuring each instrument plays at the right time. For investors, orchestration matters because it improves efficiency, speeds up delivery, reduces errors and operational costs, and makes scaling or changing business processes less risky—factors that can directly affect a company’s profitability and reliability.

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Expanded agentic capabilities, available beyond the cloud and in self-hosted environments, enable secure and scalable adoption of agentic AI across government

NEW YORK--(BUSINESS WIRE)-- UiPath (NYSE: PATH), a leader in agentic business orchestration, today announced the release of agentic AI capabilities on UiPath Automation Suite™. The Automation Suite updates help government agencies and regulated industries accelerate agentic AI and automation adoption and are designed to address strict data sovereignty and compliance requirements.

These new capabilities empower agencies to deploy agentic AI within their own infrastructure using cloud-hosted or self-hosted large language models (LLMs), maintaining control over data residency while advancing workforce productivity, operational efficiency, and constituent services.

State of AI and Automation in the Public Sector

The public sector is undergoing a fundamental transformation as agencies are required to do more with fewer resources while improving service delivery. Many agencies have already adopted robotic process automation (RPA) to handle repetitive, rules-based tasks such as data entry and reporting, realizing measurable gains in productivity and cost efficiency.

Agentic automation represents the next phase of this evolution – enabling agencies to move beyond rule-based tasks and automate dynamic, complex processes that require reasoning, adaptability, and collaboration. This unlocks significantly greater impact across mission-critical operations.

Key Features in the latest release of Automation Suite

The latest UiPath Automation Suite version enables government agencies to deploy and govern AI and automation securely within their own environments, orchestrating mission-critical workflows end-to-end. The platform runs across AWS, Microsoft Azure, and OpenShift environments, allowing agencies to use the infrastructure they already trust.

• Flexible Model Deployment: Customers can deploy agentic AI using cloud-hosted models (OpenAI, Google Gemini, Anthropic) or fully self-hosted models, providing flexibility to meet data residency, security, and compliance requirements.
• Self-Hosted AI Capabilities: Agencies can run recommended open-source models entirely within their own data centers, enabling agentic workflows using UiPath Maestro™, Agent Builder, GenAI Activities, and context grounding—without external dependencies.
• Orchestration: UiPath Maestro™ serves as the enterprise control plane for agentic automation, orchestrating end-to-end workflows with real-time visibility and control across dynamic, multi-stage processes.
• Trust and governance: A unified governance model spans agentic, IT, and infrastructure controls – enabling the operation of AI agents within defined policies, with full auditability, data protection, and compliance. UiPath meets leading standards, including ISO/IEC 42001, FedRAMP, and AIUC-1.
• Agentic Testing: UiPath Test Cloud introduces agentic intelligence across the software development lifecycle (SDLC), improving testing efficiency, reliability, and automation at scale while maintaining full control over data and infrastructure.
• Ecosystem collaboration: Through integrations with Microsoft, OpenAI, Nvidia, Google Cloud, Salesforce, Snowflake, and others, agencies can leverage existing technology investments while scaling agentic automation securely.

“As government agencies adopt agentic automation, our focus is helping them stay in control of their data, models, and how AI is used,” said Chris Radich, Public Sector Chief Technology Officer at UiPath. “The UiPath Platform brings together AI, automation, and orchestration so agencies can run workflows end-to-end, improve service delivery, and meet the security and compliance standards they operate under.”

Explore the latest UiPath public sector solutions here.

About UiPath

UiPath (NYSE: PATH) is a leader in agentic business orchestration and automation, trusted by organizations worldwide to transform enterprise complexity into intelligent, secure operations where AI agents reason, robots act, and people lead. Built for the modern enterprise and the world's most regulated industries, UiPath integrates automation, orchestration, AI, and testing into governed, scalable workflows—unlocking innovation at the speed of business while delivering the controls and compliance enterprise leaders demand. Visit www.uipath.com for more information.

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Source: UiPath