Case Study
Real-Time BI + Automation Stack for Fintech Compliance
From a compliance team manually monitoring 23,000+ daily transactions to a unified real-time intelligence system, this Series C payments platform partnered with Intelliblitz to eliminate a 48-hour anomaly detection lag — and transform their entire compliance operation.
90s
anomaly detection time, reduced from 48 hours
$180K
annual compliance labor savings redirected to strategic risk analysis
0
regulatory flags in 14 months post-deployment
Case Study
Real-Time BI + Automation Stack for Fintech Compliance
From a compliance team manually monitoring 23,000+ daily transactions to a unified real-time intelligence system, this Series C payments platform partnered with Intelliblitz to eliminate a 48-hour anomaly detection lag — and transform their entire compliance operation.
THE OPPORTUNITY
Operational transformation through sovereign AI

The compliance team at this Series C payments platform was responsible for monitoring 23,000+ daily transactions across four separate payment rails. Their tooling was a patchwork of spreadsheets, legacy SQL queries, and manual reconciliation processes built during the company's seed stage.

Anomaly detection lagged 48 hours behind real-time activity. By the time a suspicious transaction pattern was identified, the exposure window had already closed — or worse, the regulator had already noticed. Two formal warnings in 18 months had put the entire compliance function under executive scrutiny.

The Head of Compliance described the state as "reactive by definition." The team wasn't incompetent — they were architecturally handicapped. The systems they relied on were never designed for the transaction volume and regulatory complexity of a Series C fintech.

Broadening our AI infrastructure was critical — and immediately needed. By moving fast, we uncovered how almost every part of compliance could grow and change with this technology.

— VP of Engineering, Series C Payments Platform

— VP of Engineering, Series C Payments Platform

THE SOLUTION
Deploying a three-layer sovereign intelligence stack

We deployed a three-layer execution stack in 30 days. Layer one: a real-time data ingestion pipeline connecting all four payment rails into a single unified stream — no data leaving the client’s infrastructure. Layer two: an AI-powered anomaly detection engine calibrated on 18 months of historical transaction patterns. Layer three: an executive BI dashboard with real-time visibility and automated alerting.

We used to find out about suspicious transactions two days later. Now the system flags them before our morning standup.

— Head of Compliance, Series C Payments Platform

THE IMPACT
Tech-enabled breakthroughs in compliance and risk detection

Within 30 days of deployment, the compliance team transitioned from a 48-hour detection lag to real-time anomaly flagging at 90 seconds.

14 months post-deployment: zero regulatory flags. $180K in annual compliance labor savings redirected to strategic risk analysis.

The regulators noticed the difference before we even told them. That is the kind of systemic shift that changes how a board thinks about technology investment.

— Head of Compliance, Series C Payments Platform

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We take 5 new clients per quarter. 2 spots remain.

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30-minute architecture session. We diagnose your data, AI, and automation gaps — then hand you the roadmap. No pitch deck. No obligation. If we can't find $500K+ in unlocked value, we'll tell you.

We take 5 new clients per quarter. 2 spots remain.

Your Competitors Already Called.

30-minute architecture session. We diagnose your data, AI, and automation gaps — then hand you the roadmap. No pitch deck. No obligation. If we can't find $500K+ in unlocked value, we'll tell you.