Financial services
Decision support without displacing experts
Embedded intelligence into an existing underwriting workflow so specialists received ranked signals and explanations — without surrendering judgment to a black box.
These are illustrative example engagements — composite scenarios representative of how Kodi Labs approaches this kind of work, not case studies of named clients.
Focus
- AI & Intelligence
- Product Engineering
The constraint was trust, not accuracy: underwriters needed to see why a case was flagged before they would act on it. We designed the model output as a ranked, explainable second opinion inside the existing queue, with every override captured so the system kept learning from expert judgment rather than replacing it.