Credit and underwriting
Thin-file and small-business pricing that widens access while keeping loss rates inside appetite.
Industry
Banks, insurers, asset managers, and payments — where trust is the product.

Financial institutions were the first industry to industrialise analytics, which makes them simultaneously the most prepared and the most constrained. Every model change is a supervisory event.
The productive path is not to move faster than the regulator, but to build the evidence infrastructure that makes speed defensible: reproducible decisions, versioned models, and an audit trail that reconstructs why any customer outcome happened.
We work across underwriting, monitoring, servicing, and capital, with a consistent emphasis on shrinking the cost of judgement rather than the cost of paperwork.
Illustrative client outcomes, representative of engagements in this sector.
Talk to this practiceThin-file and small-business pricing that widens access while keeping loss rates inside appetite.
Alert triage that reduces false positives so analysts spend their time on genuine risk.
Assistive and agentic workflows for servicing, with a documented human accountability layer.
Model inventories, validation standards, and reporting that hold up to internal audit and supervisors.
Evidence

Article
When underwriting, advice, and monitoring are partly automated, the differentiator stops being the model and becomes the evidence trail around it.
12 June 2026 · 11 min read

Article
Boards that understand AI well enough to set boundaries move faster than boards that outsource the question to a committee.
21 August 2026 · 7 min read

Next step
A ninety-minute working session is usually enough to agree the baseline, the owner, and the first evidence gate.