Cross-referencing 40,000+ creditor claims to surface insolvency fraud at scale.

Within eight weeks of deploying Felix, Recourse Collective had built an automated claims intelligence engine that identified over £1 billion in addressable insolvency assets. The data gathering, cross-referencing, and claims identification processes that underpin the business now run continuously — auditable and repeatable at any scale.

The challenge

Recourse Collective identifies insolvency claims — finding overlooked creditor positions and turning them into real financial recoveries. The data that drives this work is fragmented, unstructured, and scattered across sources that were never designed to connect.

Matthew Letts, the firm's founder, had tried other no-code tools before Felix. None could handle what his business required: applying the precise logic of English insolvency law consistently across thousands of cases and producing results that would hold up to regulatory scrutiny. The work demanded a deterministic, code-backed system that produced the same outcome every time.

Hyperautomation

A new kind of claims intelligence infrastructure

Felix translated Matthew's process expertise into structured software workflows — converting years of insolvency law knowledge into reliable code that could consistently cross-reference datasets at scale. As Matthew put it: "I don't know of other tools, or combinations of tools, that would have delivered the sort of robust data set that we've now got."

The workflows apply niche aspects of English insolvency law programmatically — executing complex, specialised logic repeatedly and consistently. Every stage maintains full auditability and traceability, ready for regulatory review. Human intervention is built in at user-defined risk points, preserving control and governance throughout.

The result

From overlooked claims to recoverable assets

Within eight weeks, Recourse Collective had identified over £1 billion in total addressable assets. The data gathering, cross-referencing, and claims identification processes now run as software — automated, auditable, and repeatable. Cross-referencing at scale surfaced connections that had never been visible before, giving every claim the firm pursues a complete, defensible foundation.

“If you engineer these processes correctly with automation like this, you reduce the risk, massively reduce the cost, hugely reduce your timescales, and increase your output and throughput. That's disruptive. The opportunities are there for those with the conviction to pursue them.”

Matthew Letts