UiPath Agent Builder
UiPath Agent Builder is a low-code development environment built into the UiPath Platform that enables organisations to design, test, and deploy AI-powered agents inside their automation workflows. These agents can collaborate with robots, humans, and other agents to handle more complex, dynamic, and multi-step processes rather than only rule-based tasks. Agent Builder is part of UiPath’s move toward “agentic automation,” where autonomous systems handle higher-order tasks under governance, enabling teams to scale automation beyond traditional RPA.
Key Features
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Low-code UI inside UiPath Studio for defining agent behaviour, goals, constraints, and tools.
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Context grounding and memory architecture: Agents can retrieve relevant business knowledge and maintain a state to act intelligently.
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Tool integration and orchestration: agents can invoke API connectors, invoke workflows, escalate to humans, and collaborate.
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Evaluation, monitoring, and governance: built-in capabilities to test agent behaviour, track performance, enforce guardrails, and manage deployment.
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Vendor-agnostic architecture: supports multiple underlying LLMs and lets enterprises bring their own models.
Use Cases
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A procurement team uses Agent Builder to create an autonomous agent that handles invoice-dispute investigation by retrieving data from ERP, making decisions, and escalating only complex cases.
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A service desk sets up an agent to triage IT tickets by reading case descriptions, querying knowledge bases, and triggering automation workflows for common issues.
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A manufacturing company builds an agent for equipment-maintenance scheduling; it monitors sensor data, triggers inspection workflows, and escalates anomalies to engineers.
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A customer-service department deploys an agent to assist human agents by summarising customer history, recommending next actions, and initiating automation when routine tasks qualify.
Pricing & Plans
Public, standardised pricing for Agent Builder is not clearly published at this time. According to documentation and community forums, access may be limited depending on licensing and may involve additional “Agent Units” beyond other AI licensing. For an accurate quote, you should contact UiPath sales with your scenario, number of agents, usage volumes, and deployment environment.
Integrations & Compatibility
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Fully integrated with the UiPath Platform (Studio, Orchestrator, Robots), enabling agents to work alongside RPA workflows.
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Works with multiple large language models (LLMs) via UiPath’s AI Trust Layer and allows enterprises to use their preferred models.
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Supports hybrid and enterprise deployment environments, including on-premises or cloud, with governance suited for regulated industries.
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Offers both form-based and flow-based designer modes for agent definition and architecture.
Pros & Cons
| Pros | Cons |
|---|---|
| Empowers development of autonomous, intelligent agents beyond typical RPA workflows | Pricing/licensing details are not transparent and may require enterprise-scale commitment |
| Low-code environment broadens developer access and speeds up prototyping | Platform appears to be in preview or early release stages for some users (community access may be limited) |
| Strong governance, monitoring, and enterprise-grade architecture support regulated use cases | Use cases may require organisational readiness for agentic workflows, not just task-based automation |
| Flexibility to integrate various models, data sources, and workflows | For smaller or simpler automations, this may be more complex and resource-intensive than necessary |
Final Verdict
UiPath Agent Builder represents a significant evolution in enterprise automation: moving from rule-based RPA to agentic automation where AI agents can plan, act, and collaborate. If your organisation is ready to build intelligent agents that combine LLMs, workflows, human oversight, and automation at scale, Agent Builder is a powerful addition. If your needs are more modest or you are just beginning automation efforts, you may want to pilot with more standard RPA or task-automation tools first and then advance to agentic workflows when appropriate.