What businesses can learn from iFood invoice automation
A success story published by Make demonstrates combining AI for information lookup with a fixed process for routing the handling. The starting point for a small business is its list of exceptions.
Otomatzia editorial · Analysis published
Source published: · Make
What was published
In a customer case from August 21, Make describes how iFood combined its internal AI platform with Make to handle blocked invoices. The AI looks up information, and the workflow connects the systems and routes the case to the appropriate person. This is a customer story from the product vendor, not an independent test by us.
What it means for a business
The useful lesson is to start with recurring exceptions: a missing document, supplier details that do not match, or an inquiry with no clear owner. You do not have to replace your accounting system to gather information and route a task. A distinction must be made between preparing a file for handling and actually approving a payment.
What to check in a first trial
System recommendation: choose one exception type, name an owner and prepare a list of required fields. Measure lookup and handling time before and after the change. Check that a document belongs to the right supplier and that resubmission does not create a duplicate task. Leave payment decisions with an authorized person, and do not copy another customer's savings promises into your own forecast.
