An MGA automates premium cash application by connecting its bank feed, bordereaux and broker remittances to a matching layer built for insurance payment structures, no data standardisation project first. The matching absorbs the volume; the team keeps the judgment calls.
In delegated-authority operations, matching and exception-chasing absorbs 45–60% of credit-control hours. The work is pattern recognition that lives in analysts’ heads, and it walks out the door with them. Automation replaces that head-held matching with rules that are written down, explainable, and still there next year.
Three integration points. Getting all three right is what separates a working implementation from a new category of exception.
Every reconciliation anchors to what arrived and when. Statements come in as feeds or files, per bank.
The written premium record: what was bound, on which policies, under which programs. Read in the format the PAS or partners already produce.
The hardest input. PDFs, email tables, spreadsheets, one dialect per broker. The payment intent has to be extracted from whatever arrives.
The matching runs across all three at once, without requiring the bank reference to match the policy number. See how the three-way reconciliation works.
Most MGAs run several programs at once: different carriers, binder structures and reporting cycles. One broker wire can span three of them.
Generic tools reconcile against a flat chart of accounts. They have no concept of program hierarchy, so a cross-program wire cannot be split correctly.
Tools that expect one payment to settle one invoice fail on netted remittances in exactly the ways the manual process does, just faster.
A prerequisite data cleanup adds months before any benefit, and rots when carriers change templates. The system should read the mess as it arrives.
Matching stops being a cycle-end reconstruction and becomes continuous. In practice:
Brisc’s Reconciliation Analyst ingests statements, remittances and bordereaux, matches them with deterministic, explainable rules, and pushes reconciled cash back to your PAS and GL. AI reads the documents and argues the borderline cases; it never decides a match.
Match rate on day one, climbing over roughly 90 days as rules and broker aliases accumulate.
Roughly the share of rows that need human review at steady state. The rest clears itself.
To live. Day one needs no PAS integration: uploads in, evidenced output out.
See the matching ladder on bank reconciliation for insurance, how Brisc fits an MGA on solutions for MGAs, or browse all guides.
By connecting its bank statement feed, bordereaux data and broker remittances to a matching layer built for insurance payment structures: one that handles netted remittances, program-level attribution and mismatched identifiers without a data standardisation project first. The matching should be deterministic and explainable, with exceptions routed to a person.
Brisc deployments run 2 to 6 weeks to live. Day one needs no PAS integration: files in, evidenced output out. The main variable is the number of distinct remittance formats across the broker panel.
Three sources: the bank statement feed (file or feed), bordereaux data in whatever format the PAS or partners produce, and broker remittances as they actually arrive, whether PDF, spreadsheet or email table. No standardisation is required before go-live; the system reads the formats you already have.
No. The reconciliation layer sits alongside the PAS and accounting system, ingests from them, and pushes matched results back. Your PAS stays the system of record; your team keeps working where they already work.
Attribution happens at program level. A single broker wire that spans three programs is split across each program’s policies and carriers, with the evidence recorded per line. This is the capability that flat, accounts-receivable-shaped tools cannot provide.
They surface as structured exceptions with context attached: the counterparty, the program, the amount, the closest candidates, and the reason the match did not clear. Your analysts review the exceptions instead of hunting for them. At steady state that queue is roughly one row in twenty.
30 minutes, no slide deck, your real files: a bordereau, a statement, a submission. Your business is specific; the walkthrough should be too.
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