For government agencies and other highly regulated entities operating under strict compliance and data residency requirements, often cloud-based solutions are not an option. To address the needs of these organizations, UiPath has updated its platform to include agentic automation tools that run AI-driven workflows within self-hosted or hybrid environments.
The update reflects a broader push among automation vendors to position agentic AI as a viable option in regulated sectors where organizations remain cautious about sending sensitive data to external AI services.
New York City-based UiPath said agencies can use either cloud-hosted large language models from providers including OpenAI, Google Gemini, and Anthropic, or deploy fully self-hosted open-source models within their own environments.
The release also expands orchestration and governance features the company describes as a control layer for managing multi-step workflows involving AI agents, automation tools, and human users. Additional features include agentic testing tools for software development workflows and integrations with platforms from companies including Microsoft, Nvidia, Salesforce, and Snowflake.
“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.”
UiPath said the platform aligns with compliance frameworks including FedRAMP, ISO/IEC 42001, and AIUC-1 certification standards as public sector organizations continue evaluating how AI systems can be deployed within existing governance and security constraints.