Building an insolvency claims intelligence engine with structure, audit-ready AI workflows
Industry
Legal (Insolvency Claims)
Region
🇬🇧 United Kingdom
8 weeks
Time to value
1.4B
ÂŁ addressable asset pool identified
Recourse Collective Limited is a UK firm that identifies and acquires high-value insolvency claims, turning them “from forgotten line items into real financial recoveries for creditors who deserve better.”
With a business at the crossroads of law, data, and regulatory scrutiny, founder Matthew Letts needed a means to systematically uncover overlooked claims opportunities without increasing operational risk, at a scale that adding headcount simply can’t touch.
Recourse Collective used Felix to build a programmatic claims discovery engine using structured, auditable AI workflows by translating Matthew’s expertise into code that works again and again, just as he needs it to.
The challenge
Risk Requires Control
Fragmented, unstructured, or poorly connected data sources are the nature of the beast when it comes to claims opportunities that no one else has put the work in to surface and solve.
Fragile, piecemeal automation can offer the spark of an idea for a lawyer who likes to tinker with tech, like Matthew, but ultimately, you can’t vibe-code the backbone of your business. Already a legal tech strategist, Matthew tried various low/no-code tooling solutions before landing on Felix.
The scale and sensitivity of the data analysis needed for his business to grow as intended required structure, control, and the ability to build and successfully execute long and complex workflows.
In addition, regulations such as ISO27001 (check which one) and GDPR require these processes to be auditable.
“Automatically checks policies and contracts against regulatory standards like GDPR and FINRA to prevent”
Enter Felix
Handing Knowledge Architects Innovation and Control, Perfectly Balanced
Working closely with the team, Matthew translated its domain expertise into structured workflows that:
- Compare and cross-reference large data sets (beyond staff capacity). In his words, “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.”
- Apply niche aspects of English insolvency law programmatically (do hard and specific things, over and over again)
- Maintain auditability and traceability at each stage (ready for regulators, or incident post-mortems)
- Allow human intervention at user-defined risk points (maintaining control and diligent governance)
Instead of relying on ad hoc automation, workflows were built as deterministic, code-backed systems. Each execution produces predictable, reviewable outcomes. And the overall prize: A scalable infrastructure for claims intelligence.
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