UiPath Agentic Automation
Unclaimed verified 22 aug 2026Build and govern autonomous AI agents within the UiPath automation platform
TL;DR
UiPath Agentic Automation enables enterprises to build, deploy, and govern LLM-powered autonomous agents on top of its RPA platform. It targets large organizations already using UiPath for complex, multi-step processes. Key differentiator is deep integration with UiPath Orchestrator, governance, and existing attended/unattended robots.
What Users Actually Pay
No user-reported pricing yet.
Our Take
UiPath Agentic Automation represents the company's push into the emerging 'agentic' AI category, layering generative AI agents onto its mature RPA foundation. The primary value proposition is enabling organizations to automate higher-level cognitive tasks while retaining the security, auditability, and orchestration that UiPath is known for. Strengths include seamless handoff between agents and traditional robots, robust enterprise controls, and the ability to reuse existing automation assets. This makes it particularly compelling for companies with heavy prior investment in UiPath. Limitations center on the early maturity of agentic capabilities, potential hallucination risks, and pricing that remains enterprise-oriented. It is best suited for large enterprises in regulated industries seeking to extend RPA rather than for startups or teams wanting lightweight, standalone agent tools.
Alternatives
Ranked by Revuo score — paid tiers never affect order.
Pros
- + Tight integration with UiPath Orchestrator and existing RPA assets
- + Enterprise-grade governance, security, and audit trails
- + Ability to combine agents with attended and unattended robots
- + Strong support for complex, long-running processes
- + Backed by UiPath's extensive partner ecosystem
Cons
- - Pricing model requires direct sales engagement and is expensive for smaller teams
- - Agent capabilities are still evolving and can require significant prompt engineering
- - Dependency on UiPath platform limits flexibility for non-RPA users
- - Public third-party reviews remain limited as the product is relatively new
- - Setup complexity is higher than pure-play agent platforms
[ features ]
Prompt Management
Editing and tracking of LLM prompts
Allows to version prompts and track / compare different variants over time
Compliance & Security
Security certifications, compliance features, and access control capabilities.
SOC 2 Type I or Type II certification.
ISO 27001 information security certification.
Built-in tools for GDPR compliance (data export, deletion, consent).
Complete audit log of all data changes.
Granular permissions based on user roles.
Single Sign-On integration support.
AI Engine Coverage
Coverage and support for various AI models, LLMs, and search engines.
List of AI models and LLMs supported for tracking (e.g., ChatGPT, Gemini).
How often metrics are updated (e.g., real-time, daily).
Support for tracking in multiple countries or regions.
Orchestration Capabilities
Core features for coordinating and executing AI agent workflows.
Supports orchestration of multiple collaborating agents.
Maintains agent state and memory across interactions.
Automatically routes requests across multiple LLM providers.
Supports agents calling external tools or functions.
Deployment & Scalability
Deployment models and scalability features for production use.
Primary way to deploy and run the orchestration.
Supports multiple teams or users from single deployment.
Automatic scaling for high-load agent workflows.
Compatible with serverless/serverless-like deployments.
Observability & Monitoring
Tools for tracking performance, costs, and debugging agent runs.
Monitors and budgets LLM usage costs per run.
Detailed traces of agent steps and decisions.
Visual graphs or dashboards of agent flows.
Metrics like latency, throughput for agent executions.
Developer Experience
Tools and abstractions easing agent development and iteration.
No-code/low-code UI for designing agent workflows.
OpenAI API-compatible endpoints or SDKs.
Available as open-source with community contributions.
Programming languages with official SDK support.
Ready-to-use, customizable UI elements for auth flows.
Self-service admin dashboard for customers to manage users/orgs.
Supported frontend frameworks with dedicated guides/components.
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