Start in plain language
Teams begin with the work they recognize, not a technical spec only an engineer can read.
Your team writes what they need in plain language. Iron Gorilla turns it into a working AI agent — with the right tools and approval steps already in place — so you can see exactly what it will do before it goes live.
Your team describes the job in plain language. Iron Gorilla maps out the steps, the tools the agent needs, and the points where a person signs off — so by the time you review it, you already understand what it does and where its limits are.

This is the real product, running on sample data. Click through the guided walkthrough to see how it works.
Teams begin with the work they recognize, not a technical spec only an engineer can read.
The tools, hand-offs, and approval steps are all visible before the agent ever reaches production.
Owners see exactly what the agent will do and can sign off with confidence.
The work your team described is still right there when the agent draft appears — no translation into jargon required.
Access, exceptions, and approvals are part of the build, not bolted on after a demo.
Whoever runs the agent inherits the reason, the risk, and the next step together.
Start with the work. Keep the review in the room. Ship something everyone understands.