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Automator AI - The Gen AI Features within Automation Anywhere

  • March 3, 2025
  • 6 replies
  • 251 views

DS78
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  • Most Valuable Pathfinder

Automator AI is built directly into the Automation Anywhere Platform and is available on-demand to both citizen & professional developers to build their automations using the power of GenAI.

Here are some of its key capabilities:

⚡Autopilot: Transforms a business process description into usable Automation Anywhere automation code.

⚡Generative Recorder: Automates dynamic web pages more reliably with a new fallback mechanism.

⚡Co-Pilot for Automators: Transforms your automation ideas into optimized, compliant, and personalized automations.

⚡Suggest next actions: Helps accelerate automation development and build automations easily.

How can you get access to Automator AI?

To activate and use Automator AI, you need:

  1. A valid Automator AI Platform Base license.
  2. Bot Creator or Citizen Developer License.
  3. AAE_Basic and AAE_Bot Developer roles or any custom roles you might have created for developers.

Check out Automation Anywhere’s Automator AI on docs portal to learn more!

 

 

6 replies

Vatsy
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  • Most Valuable Pathfinder
  • March 3, 2025

Good one ​@DS78!


DS78
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  • Author
  • Most Valuable Pathfinder
  • March 3, 2025

Thanks ​@Vatsy :)


Anjali.K1
Navigator | Tier 3
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  • Navigator | Tier 3
  • March 4, 2025

Thanks for sharing, Helpful content ! ​@DS78 


Marc Mueller
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  • Most Valuable Pathfinder
  • March 4, 2025

@DS78 Thx for sharing mate 💪

 

Cheers

Marc


DS78
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  • March 4, 2025

@Anjali.K1  Glad you liked


  • Cadet | Tier 2
  • June 15, 2026

This is basically another step in the same direction we’ve been seeing across the RPA space: lowering the barrier to entry by letting GenAI handle more of the initial automation scaffolding.

Tools like Autopilot and Co-Pilot are especially interesting because they shift the workflow from “build step-by-step” to “describe → generate → refine”. That works really well for standard business processes, but in practice you still need human validation for edge cases, security rules, and long-term maintainability. Otherwise you end up with automations that work in demos but break under real production conditions.

The “Suggest next actions” type feature is probably where the real productivity gain is, because it reduces the cognitive load during development rather than trying to fully replace the developer.

We’re also seeing similar patterns in newer AI-native automation platforms like integrate AtomicBot, where the focus is less on replacing developers and more on compressing the time from idea → working workflow while still keeping human control in the loop.

Overall, this doesn’t remove the need for automation developers—it just moves the skillset further up the stack toward design, orchestration, and validation rather than manual bot construction.