Our recent insights

A one-page AI use-case review template for lending teams to evaluate workflow fit, risk, explainability, controls, and alternatives before moving forward.

A practical guide to separating strong AI use cases from weak ones in lending, with a clearer lens for choosing between AI, rules, and analytics.

AI can create real value in lending. It can also create token cost, governance burden, integration friction, and explainability problems when used where rules, code, or analytics would do better.

Lending teams should stop asking “Can we use AI here?” and start with the workflow problem, decision consequence, and best tool for the job.

Most lending stacks have improved data access and decisioning tools, but outcomes still lag. Carrington Labs’ Chief Executive Officer (CEO) and Chief Product and Commercial Officer explain what’s missing—and how to close the “donut hole” with decision-ready analytics.