Insurance payment reconciliation

That bank statement has 47 transactions. Which policy does each one belong to?

If you work in MGA operations, you know the feeling. You open the bank feed and there are dozens of transactions. Some have a policy reference in the description. Some don't. Some cover a single policy. Some cover twenty. Some are for the wrong amount. And your job is to figure out which payment goes where before anyone can generate a bordereaux, settle to a carrier, or even tell the broker their premium has been received.

The problem

Insurance payment reconciliation is the process of matching incoming payments to outstanding policies. It sounds simple, but in practice it's one of the most time-consuming tasks in MGA operations. Here's why:

The traditional approach

Most MGAs reconcile payments manually. The process typically looks like this:

For a busy MGA, this process can consume 2–3 days per week. That's 2–3 days that your ops team isn't spending on underwriting support, broker relationships, or anything else that actually grows the business.

Payment matching: what it actually involves

Payment matching insurance is more nuanced than just "find the policy number." Insurance reconciliation software needs to handle:

The human-in-the-loop principle

Good insurance reconciliation software never auto-allocates. It suggests matches and lets a human confirm. This is critical for several reasons:

The goal isn't to remove humans from the process. It's to do the heavy lifting (parsing, matching, scoring) so humans spend their time confirming and resolving exceptions, not searching through spreadsheets.

What changes when reconciliation is solved

When insurance payment reconciliation is automated, everything downstream accelerates:

Related reading

Reconciliation in seconds, not days.

BBNET matches payments to policies using AI, from bank feeds, PDFs, and email. Confidence scoring. Human confirmation. No more spreadsheets.

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