Regulated intelligence layer
An intelligence layer for a confidential FinTech — automating checks and decisions without weakening control, audit, or the customer experience.
Challenge
Manual review could not keep pace with volume. Rules caught the obvious cases and missed the rest. Every delay showed up as slower onboarding and more operational cost.
Approach
We designed an intelligence layer that sits beside existing systems: retrieve the right context, score the case, explain the recommendation, and leave an audit trail.
Solution
Cases are enriched, ranked, and prepared for a human decision. Routine outcomes can complete automatically inside policy. Exceptions arrive with the evidence already attached.
Architecture
Event-driven case pipeline with retrieval over policy and customer records. Model outputs are treated as recommendations with provenance — never as an unexplained black box.
Technology
Python, FastAPI, PostgreSQL, Vector Search, LLM APIs
Outcome
Review time fell on routine cases while high-risk work reached specialists with fuller context — without changing the control model the business already trusted.
Let's build something intelligent.
From the first idea to a production-ready system.