Copilot Studio, Gemini Enterprise and Agentforce give you an agent that decides every step, or a drawn flow with an agent in one step. Malleable puts both in one operation. Your team sets the fixed steps, and the AI uses judgment 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.
A builder draws every path ahead of time. AI can fill in a step, but the drawn paths decide what happens next.
The flow runs the same path every time. An AI step can read the invoice, but if nobody built a path for a price change, the run stops or takes the default branch, and someone has to sort it out by hand.
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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