What I find most compelling about UiPath Agentic Automation is that it moves automation from “doing predefined steps” to “understanding, deciding, and acting.” A few standout areas:

1. AI agents + RPA working together

Instead of replacing bots, UiPath combines AI agents with traditional RPA bots.

That means:

Agents handle unstructured work (emails, documents, conversations, exceptions)

Bots handle deterministic execution (ERP updates, form filling, API calls)

This hybrid model is practical for enterprise adoption.

2. Orchestration of humans, bots, and agents

UiPath can coordinate:

Human approvals

AI decision-making

Bot execution

So workflows become “human + AI + automation” instead of isolated scripts.

3. Context-aware decision making

Agents can use:

Enterprise knowledge

Business rules

Historical process data

This allows automation to adapt instead of failing when something unexpected happens.

4. Strong governance

One of UiPath’s biggest enterprise strengths is governance through platforms like UiPath Orchestrator and UiPath Automation Cloud:

Auditability

Role-based access

Monitoring

Compliance controls

This matters in banking, insurance, healthcare, etc.

5. Process intelligence + agentic AI

When combined with UiPath Process Mining and UiPath Communications Mining, agents can identify where work happens, learn patterns, and improve automation opportunities. Review collected by and hosted on G2.com.

A balanced answer would focus on current challenges rather than criticism for the sake of criticism. Here are some realistic limitations of UiPath Agentic Automation:

1. Enterprise complexity

Agentic automation introduces:

AI models

Prompt management

Knowledge sources

Guardrails

Monitoring

Compared with traditional RPA, architecture and governance become significantly more complex.

2. Output predictability

AI agents can produce variable outputs. In regulated processes (insurance, banking, finance), consistency matters, so extra validation and human checkpoints are often required.

3. Cost can scale quickly

Using:

LLM APIs

Vector databases

Document understanding

Real-time orchestration

can increase infrastructure and licensing costs versus standard bot automation.

4. Debugging is harder

With deterministic bots, failures are usually easy to trace. With AI agents, issues may come from:

Prompt design

Context retrieval

Model reasoning

Tool invocation logic

Root-cause analysis can take longer.

5. Skills gap

Teams experienced in RPA may need to learn:

Prompt engineering

AI evaluation

Retrieval pipelines

Agent orchestration

That creates an adoption curve.

6. Governance is still evolving

Although UiPath Orchestrator provides enterprise controls, standards for AI-agent testing, explainability, and risk management are still maturing across the industry Review collected by and hosted on G2.com.

I use UiPath Agentic Automation to automate end-to-end business workflows mixing rules-based automation, AI, and human collaboration. I like its ability to move beyond traditional RPA and enable intelligent, goal-driven automation across entire business processes. It's valuable because it shifts automation from task execution to business outcome delivery. It integrates well with our broader enterprise tech stack, helping to automate cross-team workflows and improve operational efficiency. When we started using it as a mid-sized organization, it particularly helped in scaling processes without increasing headcount. Review collected by and hosted on G2.com.

While UiPath Agentic Automation is very powerful, there are a few areas that could be improved: Steeper learning curve for advanced capabilities: Moving from basic RPA to AI-driven, multi-agent automation requires deeper technical and architectural knowledge. More guided learning paths and structured onboarding would help new users adopt advanced features faster. Review collected by and hosted on G2.com.

I think the OCR capability of UiPath Agentic Automation is pretty awesome compared to other tools. It significantly helps in extracting content precisely, where most other tools aren't efficient. I also appreciate the agent-to-agent communication and collaboration features, which are very useful for us. Setting up control logs with drag-and-drop instead of coding makes the development part easy. The initial setup was pretty easy, thanks to the support from the UiPath team. Review collected by and hosted on G2.com.

I think there are situations where the bots are running in the SAP system, and if you transfer the SAP system, sometimes the system slows down. I understand API could be another solution, but it should be lightweight to ensure the system works efficiently when the bot goes into SAP or any other system. Review collected by and hosted on G2.com.

I liked the orchestration layer, which is one of the most valuable features in UiPath Agentic Automation. It coordinates agents, robots, systems, and people across long-running processes and improves visibility and control over end-to-end workflows. I also like the flexibility it provides when designing automation workflows, allowing us to adapt workflows based on business requirements. The initial setup was easy and straightforward, especially for teams. Review collected by and hosted on G2.com.

One area can be improved that is troubleshooting complex agent behavior, and it sometimes takes additional effort. More detailed diagnostics and explanation capabilities would be useful. Features such as execution traces, confidence scores, and visual workflow paths would make troubleshooting much easier; these enhancements improve transparency. Review collected by and hosted on G2.com.

I really like how UiPath Agentic Automation lets me create agents that aren't just simple chatbots but actually help me achieve tasks by integrating easily with workflows and collaborating with humans for validation. It's cool to have the new edge tech of agents that work within a single flow to tackle multiple tasks. The one-stop governance and orchestration through Maestro is a big plus and was a key reason for switching from our previous product. The setup was easy, especially with help from the UiPath community whenever I had questions. Review collected by and hosted on G2.com.

Give options to learn and achieve more with community license and have connections and pipelines created for prod deployment CI/CD from the solution itself. If it can provide git connected and CI/CD functions inbuilt. Review collected by and hosted on G2.com.

I use UiPath Agentic Automation for automation, specifically for PDF automation, data scraping on unstructured PDFs, and getting random data from websites. I find all its features useful, and I think the Studio is nice. The initial setup was easy for me, and I'm highly likely to recommend it to others with a rating of 10 out of 10. Review collected by and hosted on G2.com.

Yes. It is useful to do the oroficionnf. Review collected by and hosted on G2.com.

I have used UiPath Agentic Automation to create intelligent, autonomous digital agents that handle complex workflows like GST invoice processing and travel money processes, which enhances efficiency and speed, saving costs for the organization. Tasks like invoice processing, claims handling, and exception checks are reduced, and when traditional bots get stuck, these agents self-correct or escalate intelligently, cutting down on costly errors and delays. The best part is that these agents operate independently while still respecting laws and rules, keeping processes compliant and safe. They handle repetitive tasks automatically, even when processes aren't straightforward, ensuring continuity. Review collected by and hosted on G2.com.

Setting up agents with the right 'always' and 'never' rules can be tricky, requiring a lot of upfront planning and governance, which slows down adoption and integration. There's also a challenge with cost and resources. Review collected by and hosted on G2.com.

The most compelling aspect of UiPath Agentic Automation is its ability to autonomously handle complex, long-running processes by combining generative AI with UI-based execution. It excels by enabling AI agents to reason, make decisions, and work across existing applications without requiring manual intervention, resulting in higher ROI and efficiency Review collected by and hosted on G2.com.

Users commonly report that UiPath Agentic Automation is expensive, has a steep learning curve for complex setups, and can be frustrating due to missing features like modern folder access. While praised for AI integration, the platform suffers from high licensing costs and potential performance lag in the IDE during complex workflows. Review collected by and hosted on G2.com.

I find UiPath Agentic Automation's Autopilot integration and dynamic workflow integration valuable. I also appreciate its ability for adaptive automation. The initial setup was easy, which made the experience more enjoyable. Review collected by and hosted on G2.com.

Handling Complex Scenarios: While agents are designed to rethink complex workflows, they may struggle with nuances that require human intervention in end-to-end processing. Agent Proliferation: As businesses adopt more agents, there is a risk of 'agent sprawl,' where disconnected agents make management and governance difficult. Data Quality Requirements: Agents rely heavily on the data foundation they are given; if the underlying documents or communications are not structured well, the agent's ability to interpret scenarios effectively is reduced. Orchestration Complexity: Transitioning from traditional Robotic Process Automation (RPA) to a multi-agent orchestration model requires new learning and management. Review collected by and hosted on G2.com.

I find UiPath Agentic Automation very advantageous, especially when it comes to document processing and automation. Using UiPath makes tasks easier and provides greater control, which significantly boosts our ROI. The AI agents in UiPath are particularly excellent, contributing to a positive experience and handling document processes efficiently. Overall, it's a very good tool, even though there's room for improvement with code-less agents. The setup is easy, although some support is needed for production. With a dedicated team, we've successfully deployed the UiPath agents in production, which has truly enhanced our workflow. Review collected by and hosted on G2.com.

It's good, but need to improve code less agents. Easy but need some support for prod. Review collected by and hosted on G2.com.