NorthwindFinancial

Northwind Financial is a digital-first bank serving small businesses across the northeastern United States, processing several million transactions a month through card, ACH, and instant-payment rails. Its existing fraud stack was a rules engine tuned over several years, effective at catching known patterns but generating a heavy volume of alerts that needed human review before any action could be taken.

Fraud ops analysts were each triaging hundreds of alerts per shift, most of which turned out to be benign once investigated. The team could not easily see the broader transaction graph around a flagged account (shared devices, linked beneficiaries, velocity across related accounts) without manually pulling reports from three separate internal tools, which slowed down every investigation.

Leadership wanted a system that combined the rules engine's coverage with reasoning over relationship data, so analysts could see why an alert mattered and act on the highest-risk cases first, without replacing the compliance-approved rules logic already in production.

Aivora AI's team spent the first three weeks embedded with Northwind's fraud ops group, mapping the existing alert pipeline and the data already sitting in the transaction graph database. Rather than replace the rules engine, the team designed the copilot as a reasoning layer that sits downstream of it: every alert the rules engine raises is enriched with graph context before an analyst ever sees it.

The core build used a retrieval pipeline over the transaction graph (built on the bank's existing graph database) feeding a fine-tuned LLM that produces a plain-language case summary, a ranked risk score, and suggested next actions. A human-in-the-loop review step was built in from day one: analysts approve or override every recommendation, and those overrides feed back into a weekly recalibration of the ranking model.

The team shipped a working prototype in five weeks, ran a six-week pilot with two fraud ops squads, and rolled out to the full 30-person team over the following two months, with SOC 2-aligned logging and audit trails built in throughout to satisfy Northwind's compliance and internal audit requirements.