Verify the vendor behind a bank or card line
The engine behind the bank-line checks: finds who a feed line was paid to, what they do and what it was likely for, or says it could not.
What it does
Each integration step this workflow runs, in order, what it is for, and the conditions and loops that decide when it runs.
An AI agent uses these as it needs them
- 1SerperSearch webThe agent's Google search: looks up the cleaned-up payee, with a city, state or a word from the client notes when the name is ambiguous, and a person's name with 'linkedin'.
- 2ExaSearch webThe agent's profile search: finds a person's LinkedIn profile from the name and a role, employer or place, since profile pages cannot be opened directly.
- 3ExaGet contentsThe agent's page reader: opens the vendor's own website, or a directory, review or news page, and reads what it says about the business.
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How it works
What happens on each run, in plain English.
The research engine behind 'Check one bank line' and 'Check a bank feed sheet': it takes one bank or card feed line from the workflow that runs it and hands back who was paid, what they do, what the payment was most likely for, a suggested account, the evidence, the source pages and one question for the client. An AI agent cleans up the payee as the bank printed it, searches Google for the business or person, opens the vendor's own page to confirm what they do, and looks up a person's profile when the line names one.
It is built not to bluff. Every fact has to come from a page it read or a result it saw, a guess is labelled as a guess, and the status ('identified', 'likely', 'not identified' or 'processor only') is checked by the workflow: a match with no source behind it is reported as not identified, and a second, independent model reads the summary against the evidence and says whether it claims more than the evidence supports.
It declares its inputs and outputs, so any workflow can run it with the Call workflow step, and an AI agent step can use it as a tool.
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