AI invoice agent: Invoice checks and vendor reconciliation
About this demo
Invoice processing, vendor reconciliation and budget tracking handled by an AI finance agent. A 2-minute demo.
Checking an invoice by hand takes 3 to 5 minutes of switching between email, the FM system and the ERP, so most invoices never get checked. The invoice agent checks each one, acts on what it finds, and hands back what it can't decide.
- It acts, not just checks. The agent updates the record's status and tells the vendor or your team when there's an issue.
- It knows when to stop. If it can't identify the problem, it hands the invoice to a person.
- At scale. For one customer it's validating 60,000 invoices this year, saving about 3 minutes on each.
- The invoice validator. Five checks run on each invoice. The agent explains any that fail and rejects the invoice.
- A clean invoice. One that passes every check is matched and approved.
Transcript
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We all know that while validating invoice none of us validate all the invoices. Okay, even if we do it's like probably 3 to 5 minutes per invoice where we we are scrambling between emails like multiple systems like a FM system, ERPs, etc. So now what happens is this agent doesn't just look into those, it acts on it. So our agent can basically perform actions like updating a status of the record, notifying the vendor or the internal users that there is an issue. And let's say if it's not able to identify a problem, it's it throws its hands and says, "Hey, I cannot do it. You take care of it." So we have multiple customers and one large customers for whom we are validating 60,000 invoices within this year. And we have saved around 3 minutes of their time per invoice. That's approximately 30,000 so 3,000 hours for them. So let me show how that works. So this is our invoice validator. And for their function, there are like five validations that has been performed. And the some of the validations have failed and the analysis has been provided by the agent. And agent has rejected it.
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So according to the workflow that is required by you, agent can act act accordingly. So this is one case where the invoice would have actually validated all the all these checks and it has actually matched it and made it successful. So the goal is very simple. The invoice AR agent catches all the mismatches before the actual payment. The right user is notified. Again, no one touches it.
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This is what our autonomous agent in finance would look like.
Who it's for
Finance and accounts payable
Stop overpaying before the payment goes out.
FM service providers
Reconcile vendor invoices without manual checks.
Procurement
Send mismatches back to vendors with the reason.
