Reconciliation and sub-ledgering are the backbone of financial accuracy, but with the current solutions in the market they are a resource drain for fintechs.

Here are some real-world pain-points:

🔹 Lending Platforms: Matching the amount paid by customers is tricky, the date of the payment is a big part of the formula. So traditional basic matching doesn’t work with APYs.

🔹 Accounts Payable/Receivable (AP/AR): Transactions flowing in from external rails aren’t matched seamlessly with invoices, think 17 character limits for ACH.

🔹 Compliance Solutions: Sub-ledgers and their alignment with regulatory requirements, flagging anomalies before they become compliance risks isn’t something current solutions care about.

The impact? slow processes, high rate of errors, and nonexistent automated decision-making. You're not only solving for the Synapse Rule, you're automating it.

AI Agents powering reconciliation isn’t just a tool—it’s a competitive advantage.