# Which AI orchestration tool is the better choice for IT teams migrating from traditional RPA into agentic automation?

<p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">Hi G2, our IT team has years of RPA bots running and now leadership wants us moving into agentic automation, but we don't want to throw away what already works. Trying to figure out which <a class="a a--md" elv="true" href="https://www.g2.com/categories/ai-orchestration">AI orchestration</a> tools actually ease that transition instead of forcing a rebuild from scratch.</p><ul>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/uipath-agentic-automation/reviews"><strong>UiPath Agentic Automation</strong></a>: reviewers already on the UiPath ecosystem describe it as extending RPA capabilities with agentic AI rather than replacing it, with a smoother learning curve for teams already familiar with UiPath, though moving from rule-based RPA to agent-based thinking still takes retraining.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/automation-anywhere-agentic-process-automation/reviews"><strong>Automation Anywhere Agentic Process Automation</strong></a>: one reviewer coming from the on-prem V11 RPA platform said the cloud-based A360 version is a clear step up, with the agentic layer handling more complex cases like document extraction that plain RPA bots couldn't, though official documentation can require a lot of trial and error.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/ibm-watsonx-orchestrate/reviews"><strong>IBM watsonx Orchestrate</strong></a>: reviewers highlight the ability to fall back to IBM RPA when a target system has no API, which lets teams keep existing bots running while layering agentic capability on top of systems that were never designed for it.</li>
</ul><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">For IT teams that have made this shift, did you keep your existing RPA bots running alongside the new agentic layer, or did most of it get rebuilt? And how steep was the retraining curve for the automation team itself compared to just learning a new tool?</p>

##### Post Metadata
- Posted at: 12 days ago
- Author title: SEO Content Specialist
- Net upvotes: 1


## Comments
### Comment 1

&lt;p&gt;I’d keep proven RPA bots running initially and layer agentic automation around the exceptions and decisions those bots struggle with. Rebuilding stable rule-based workflows just to make them “agentic” creates unnecessary migration risk. The bigger retraining challenge would probably be teaching the automation team to design for probabilistic decisions, guardrails, and human escalation rather than deterministic bot steps.&lt;/p&gt;

##### Comment Metadata
- Posted at: 11 days ago





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