PayFlow was processing 5K transactions per second but their legacy fraud system was missing sophisticated attacks. False positives were at 8%, costing them customers and revenue.

We built a custom fraud detection platform with ML models trained on PayFlow's transaction history and served real-time inferences via API. False positives dropped to 0.3% while catching 99.2% of actual fraud.

NorthBridge's 23 portfolio companies each ran their own books on a mix of QuickBooks, Xero, and one stubborn legacy system. Consolidating for reporting took 14 days every month, with 6 analysts reconciling intercompany transfers by hand. Anomalies — duplicate invoices, misclassified spend, duplicate vendor payments — surfaced weeks late, by which point the cash was gone. The firm was paying $1.2M a year in external audit fees to verify numbers nobody fully trusted.

We deployed our Ledgercore AI platform with a multi-entity ledger, AI transaction categorization trained on 18 months of NorthBridge's history, real-time anomaly detection that flags duplicates and misclassifications the moment they post, and automated intercompany reconciliation. Close workflows now run on a single timeline with every adjustment audit-tracked. The system went live across all 23 entities in 12 weeks.

Sentinel Bank's 4-person security operations team was getting 12,000 alerts a day from a stack of disconnected tools. Real threats were getting missed in the noise — a phishing-driven ACH fraud attempt had slipped through for 9 hours before anyone caught it, costing $1.4M. SOC 2 Type II audit prep was a 6-month project that pulled the whole team off detection work. The CISO was hiring a 5th analyst just to keep up with alert triage.

We deployed our Aegis AI security posture platform with AI-driven alert prioritization, automated SOAR playbooks that quarantine compromised endpoints and revoke sessions in seconds, and a continuous compliance module that maps every control to SOC 2 criteria in real time. The platform ingested Sentinel's existing tool outputs so there was no rip-and-replace. Within the first week, the AI had suppressed 78% of false positives and surfaced 3 active threats the team had missed.