Fintech, lending and insurance technology
Credit scoring, pricing, underwriting and fraud detection sit inside regimes that already govern automated decision-making, explainability and fair treatment. An AI programme here is not a new silo; it has to connect to the obligations the business already carries, and to the model-risk expectations your own regulator or your bank partner applies. We build that connection and refer sector-specific legal questions to counsel qualified in the relevant market.
When this usually becomes urgent
Governance work rarely starts from a general wish to be responsible. It starts from an event with a date on it. These are the ones that bring this business to us.
- A bank or insurer partner sent a model-risk questionnaire
- An AI feature touches credit, pricing or claims decisions
- A regulator or auditor asked how a decision is explained
- You are entering a market whose rules you have not mapped
Where this business usually starts
Not a bundle - three engagements that answer the triggers above, in the order they normally bite. Each is bought on its own, and the badge on every card says how much of the governance model that engagement actually covers rather than leaving you to guess.
Fintech, lending and insurance technology
Start with the trigger you already have.
Published ranges, a written scope with its exclusions named, and an honest view of whether the engagement is worth buying at all. Scoping the problem costs nothing.