From process efficiency to enterprise intelligence
Most organizations have already implemented Robotic Process Automation (RPA) to manage repetitive, rule-based work, improving accuracy and efficiency. However, as automation matures, a new question arises: not “What else can we automate?” but “How can automation become more intelligent, adaptive, and connected?”
That’s where UiPath Agentic Automation comes in.
It builds on RPA’s foundation by introducing AI reasoning, context awareness, and orchestration—enabling agents, robots, people, and systems to work together intelligently. All of this is modeled, monitored, and governed through UiPath Maestro, which ensures visibility, security, and trust across every layer of automation.
In simple terms:
- RPA automates individual steps in a process.
- Agentic automation manages entire outcomes—it can reason, adapt, and explain the decisions it makes.
From Automation to Intelligence
Traditional RPA follows rigid rules: “When X happens, perform Y.”
Agentic automation introduces autonomy and understanding, allowing processes to interpret context, make decisions, and react dynamically.
This approach is grounded in three principles:
- AI Reasoning: Using machine learning and language models to interpret complex situations and choose the best course of action.
- Context Awareness: Maintaining knowledge of previous actions, data states, and user intent to ensure continuity and precision.
- Process Orchestration: Coordinating people, robots, and AI within UiPath Maestro using BPMN 2.0 visual models for clarity and governance.
These elements transform traditional automation into an intelligent system that continuously adapts and learns.
24 Enterprise Use Cases for Agentic Automation
Below are real-world examples of how organizations across industries are leveraging UiPath’s agentic capabilities to achieve measurable results.
Financial Services and Insurance
Financial institutions face high volumes of data, strict compliance requirements, and the need for faster decision-making. Agentic automation helps by:
- Underwriting and Claims: Agents analyze documents, assess risk data, and coordinate bots to collect and validate information.
- Fraud Detection: AI models monitor transactions for anomalies, while agents handle investigation workflows and escalation.
- KYC and Policy Validation: Agents perform real-time verification using document understanding and contextual data checks.
These solutions speed up processing, reduce manual effort, and strengthen compliance.
Operations, Risk, and Compliance
Agentic automation helps operations teams balance efficiency and governance:
- Invoice and Vendor Management: Agents reconcile data across finance, ERP, and procurement systems, triggering automated approvals and exception handling.
- Regulatory Reporting and Audits: Through the AI Trust Layer, all AI-assisted actions are logged for full traceability and explainability.
- SLA Monitoring and Exceptions: Agents track SLA performance, detect deviations, and automatically escalate or reassign tasks.
This creates a proactive compliance framework that’s embedded into daily operations rather than managed separately.
Customer Experience and Service
Customer service organizations need speed, empathy, and accuracy—all of which benefit from agentic orchestration:
- Conversational Agents: Intelligent assistants understand intent and sentiment, providing context-aware responses or routing inquiries to the right channel.
- Case and Refund Processing: Agents connect multiple systems to automate approvals, notifications, and updates, ensuring transparency at every step.
- Human Escalation: When uncertainty occurs, agents seamlessly pass context and conversation history to human agents in Action Center.
This reduces handling times and elevates the overall customer experience.
People Operations and IT
Internal business functions also gain from intelligent orchestration:
- Onboarding and Offboarding: Agents coordinate provisioning, system access, and device management across departments.
- IT Service Management: Agents triage support tickets, identify recurring issues, and automate resolution workflows.
- Proactive Monitoring: When performance or system issues arise, agents detect early warning signals and initiate recovery steps automatically.
By combining AI reasoning with governance, enterprises improve employee productivity and reduce operational friction.
Why Agentic Automation Matters
Enterprises today face an expanding network of systems, data, and decisions. Traditional automation struggles to handle the complexity and ambiguity this brings. Agentic automation addresses that gap by enabling organizations to:
- Make faster, data-driven, and explainable decisions.
- Reduce operational and compliance risk through traceable automation.
- Scale automation that adapts to change rather than repeating static rules.
- Connect people, robots, and AI within a single orchestrated environment.
This shift marks a move from process efficiency to enterprise intelligence, where automation becomes a connected, reasoning system that drives business outcomes.
Building the Foundation
The UiPath ecosystem provides all the components needed to operationalize agentic automation:
- UiPath Maestro for process modeling, orchestration, and monitoring.
- Autopilot for Everyone for building conversational and generative agents.
- Integration Service for seamless connectivity across applications and APIs.
- AI Trust Layer for governing AI-driven decisions with transparency and compliance.
Together, these capabilities help organizations create automation that doesn’t just execute tasks but understands goals, learns from feedback, and continuously improves performance.
Learn More
- UiPath Maestro Documentation
- UiPath Agents Overview
- Agentic Orchestration: Reliable, Responsible, and Visible Agentic Impact – UiPath Blog (March 2025)
Join the Discussion
Agentic automation is evolving rapidly, and many organizations are starting to experiment with it in areas like customer service, compliance, and IT operations.
Which of these use cases resonates most with your business priorities?
How are you planning to introduce agentic orchestration into your automation strategy?
Let’s discuss and share real-world insights from the UiPath Community.