UiPath has expanded its agentic AI capabilities beyond the cloud, enabling enterprises to deploy its Automation Suite within self-hosted environments—an important step for regulated industries seeking to balance innovation with compliance.
The update allows organisations to run agentic AI using either cloud-hosted large language models (LLMs) or self-hosted open-source models, while maintaining control over data residency and infrastructure.
The move reflects a broader regional shift from experimentation to scaled adoption. According to a UiPath-commissioned IDC InfoBrief, 40% of organisations in Asia Pacific have already implemented agentic AI, with a further 50% planning deployment within the next 12 months.
However, adoption has been uneven across sectors. Industries such as banking, insurance, healthcare and the public sector have faced persistent barriers due to stringent regulatory and data sovereignty requirements, which have historically limited reliance on cloud-only models.
UiPath’s latest enhancement directly addresses these constraints. By enabling on-premises deployment through Automation Suite, enterprises can orchestrate AI-driven workflows within their own infrastructure. At the same time, they retain flexibility to integrate leading cloud-based LLMs such as OpenAI GPT, Anthropic Claude and Google Gemini, or alternatively deploy fully self-hosted models.
Two deployment modes underpin this flexibility. The first combines self-hosted orchestration with cloud-based models, offering access to advanced capabilities such as DeepRAG, Autopilot for Developers and ScreenPlay.
The second supports entirely self-hosted models, enabling organisations to operate core agentic functions—including UiPath Maestro and Agent Builder—within their own data centres. A hybrid approach further allows enterprises to keep orchestration local while routing inference to approved cloud providers, aligning with regulatory frameworks that permit limited external processing.
For executives, the development signals a shift in how agentic AI can be operationalised at scale without compromising governance.
“Compliance requirements should never be a ceiling on innovation, yet regulated industries across APJ have missed out on early agentic AI gains due to rigid constraints," said Raghu Malpani, chief product and technology officer at UiPath.
Raghu Malpani
"Automation Suite eliminates the trade-off between adopting AI and maintaining data sovereignty, giving enterprises in banking, government, healthcare, and beyond the infrastructure control they need to move from ambition to real business impact on their own terms.” Raghu Malpani
As enterprises accelerate their AI agendas, the ability to deploy agentic systems within controlled environments may prove decisive—particularly in Asia Pacific, where regulatory complexity and digital ambition increasingly intersect.
