AI Readiness consulting for financial services firms. Senior-led, fixed-price engagements with industry-specific use cases.
Model risk management documentation, validation framework, monitoring posture, and the data-lineage chain that ties model inputs to source systems. We build the data and governance foundation; your model risk team owns the formal validation.
The high-risk classification under the EU AI Act applies to credit scoring, insurance underwriting, and similar uses. We help structure the data inventory, lineage, and governance that the conformity assessment requires.
Yes. CFPB has been clear that ECOA and fair lending laws apply to AI underwriting decisions. The data layer that supports model explainability and adverse-action notice generation is part of our practice.
AI readiness means the data foundation is clean enough, the governance is defensible enough, and the metric layer is consistent enough that AI deployment lands without producing the kind of hallucinations or compliance issues that block production use. The work is mostly at the data layer.
We focus on the data foundation that supports AI deployment. Model selection, training, and tuning we coordinate with the client's AI team or specialist partners. The data layer is where most AI pilots stall.
, and the data and AI work we ship is designed to hold up under their review.