Sector: UK Public Sector | System: Swift/OLM

Recovering £2.4M in "Lost" Revenue

The Complexity

A large Local Authority was facing a budget deficit. Their Social Care finance data was fragmented across legacy OLM systems and Excel spreadsheets. Invoices were being generated, but a disconnect in the logic meant thousands of billable care hours were slipping through the cracks unbilled.

The Engineering

We didn't just "audit" the books. We engineered a Forensic SQL Logic Script that cross-referenced care delivery logs against financial ledger entries over a 5-year period.

The Asset Delivered: A reusable "Revenue Leakage Dashboard" that alerts the finance team instantly if a care package is delivered but not billed.

£2.4M Retrospective Revenue Recovered
100% Compliance Visibility
Sector: Manufacturing | Domain: Order-to-Cash

Eliminating Workflow Friction

The Complexity

A mid-sized manufacturer was growing fast but bleeding margin. Orders were getting stuck between "Sales" and "Production," causing rush-shipping costs and quality errors. The ERP system was technically functional, but the process architecture was broken.

The Engineering

We mapped the entire "Order-to-Cash" value stream. We identified 3 critical friction points where manual data entry was introducing errors. We built a Middleware Logic Layer that automated the handoff between the CRM and the Production Schedule.

The Asset Delivered: An automated production queuing system.

18% Reduction in Cycle Time
0 Manual Data Entry Errors
Sector: FinTech | Domain: High-Frequency Trading

From Intuition to Algorithm

The Complexity

A private trading desk relied on manual execution of a complex volatility strategy. Emotional fatigue and execution delays were eating into profits. They needed to remove the human element from the execution layer.

The Engineering

We codified the trader's intuitive rules into a rigid Python-based Logic Blueprint. We architected a system that ingests market data, applies the strategy logic, and executes orders in sub-millisecond timeframes.

The Asset Delivered: A fully autonomous algorithmic trading engine.

<50ms Execution Latency
24/7 Operational Uptime