Overview
About Automation Anywhere.
THE COMPANY
Automation Anywhere builds digital workers, software bots that automate repetitive office tasks across the world's largest enterprises. Over 400 million automations run on the platform every year.
THE PRODUCT
AI Agent Studio is the GenAI tooling layer inside Control Room, the developer-facing interface of the platform. It lets developers build AI Agents that perceive, reason, and act inside automation workflows.
Problem
Same mental model, new power.
Automation Anywhere runs 400M+ automations a year for the world's most compliance-heavy enterprises. Whatever we added couldn't break the trust the platform had already earned.
And the people building those automations had never written a prompt. They build from pre-built actions and templates, predictable pieces that run the same way every time. GenAI asked them to work in a way they'd never had to learn.
The goal was to let any developer build effective AI workflows without learning prompt engineering first.
Ethics
Security
Privacy
Reliability
Accessibility
Transparency
Accountability
Process
The approach.
Field study
Learning from our competitors.
Every major platform was shipping their version of agentic AI. We studied the field to understand what was working, and what wasn't.
Brainstorm Figma — sketches, notes, raw inputs
What we picked
01
Model selection
3-step process: Provider → Model → Version. Easier for non-technical users than a single dropdown of model+version combined.
02
Prompt input
Natural language builder with inline variables. Prompts read like prose, not code.
03
Versioning
Named versions with descriptions of what changed. Not date stamps, not auto-incremented numbers.
04
Cost visibility
Live token count and cost estimate per prompt. Visible at build time, before anything ships.
Personas
Different goals, one handoff.
The user personas and their roles across the end-to-end journey, from setting up to governing.
Roles and permissions, Automation Anywhere docs →
Minh
wants AI adopted, safely
Jake
wants models ready and tracked
Marcus
wants templates others reuse
Sue
wants to build without prompts
Rochelle
wants proof of every use
Lead
Minh
Asks for AI in automations, with the data watched.
"We're careful about what leaves with the models."
Admin
Jake
Creates the model connection and turns on the governance log.
"Get the models ready, and log every use."
Pro Dev
Marcus
Builds a reusable prompt template, publishes it to the shared repo.
"The team gets GenAI without writing prompts."
Citizen Dev
Sue
Pulls the template into her automation, new or existing.
"No model setup, no prompt engineering. I just use it."
Rochelle, GRC — audits prompts and model usage across the whole chain.
Reviews prompt and model usage across all of it.
"Prove what ran, and that nothing leaked."
How it works
One handoff, three systems.
Once they hand off, every request the agent makes gets built, checked, and recorded, by three separate systems.
swipe to explore →
The agent is one step inside an existing automation. Every request it makes runs through all three systems first.
The build surface
A glimpse of AI Agent Studio.
Tap a numbered dot to learn more
Impact
How it's going so far.
Model usage captured by internal tool
