Claude, ChatGPT, Manus and OpenClaw work out the steps on every run. That's great for one-off work. For work that repeats, Malleable follows the steps your team set and uses AI judgment only where you allow it.
Say a supplier emails an invoice, and the price is higher than on the purchase order. Here's what happens next in each case.
You give an AI agent instructions and tools. It works out the steps itself, every run.
The agent starts fresh each time, reading the invoice and deciding what it should run. It sometimes has notes for itself, but each run can influence another and there's no audit trail along the way.
Your team says which steps always run the same way and where the AI can use judgment. One agent follows those steps for the whole run.
Matching the invoice to the purchase order runs the same way every time. The AI decides whether the new price looks like a mistake, using your price list. Anything over a set amount goes to the controller, as a form with the invoice, the purchase order and a recommendation.
Each row is something you can check in a demo, or in the other tool's docs.
Each page is checked against that tool's own docs, and says when it's the better choice.
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