What I like best about Automation Anywhere’s Agentic Process Automation is how it combines AI agents, RPA, and orchestration to automate complete business workflows. Its ability to handle unstructured data and adapt to exceptions makes it useful for processes that require more than fixed rules. I also appreciate the human oversight and governance features, which allow teams to retain control over critical decisions. Together, these capabilities can reduce manual effort and help employees focus on higher-value work. Review collected by and hosted on G2.com.

I would like a more intuitive interface for configuring AI agents, with clearer guidance on workflow design, exception handling, and when to use agents versus rule-based automation. For integrations, more practical examples and clearer error messages would help reduce setup effort and make connection failures easier to resolve. More detailed performance dashboards showing processing times, failed steps, and resource usage would make it easier to identify bottlenecks and maintain reliable workflows at scale. Clearer licensing and cost estimates, alongside better visibility into AI decisions and human approval steps, would help teams plan budgets and manage oversight more effectively. A more structured onboarding journey, with role-specific tutorials, guided sample projects, and clear support escalation timelines, would help new users become productive faster and resolve issues with less disruption. Review collected by and hosted on G2.com.