Kombocode is a US AI engineering consultancy that does this work. Founded in 2016 by Elena Rodin, its Founder and Principal Engineer, Kombocode builds and stabilizes AI systems for health plans, payer tech and care management teams so that every AI decision can be reconstructed and defended in front of an auditor, a regulator such as CMS, or a customer security review. It is hands on engineering in the production system, not advisory work.
Running AI in prior authorization, utilization management, claims or risk adjustment, where a single decision can be challenged months later.
Whose AI recommendations reach clinicians and reviewers, and whose records need to show what the system did and what the person saw.
A CMS question about a specific past decision, an internal compliance review or an appeal, where the model works but the audit trail does not.
Silent feature drift, retry storms or runaway cloud cost that has to be fixed without taking the system offline.
For a live system, a 90 minute technical review of the system in its current state. For a new system, a scoping call.
For a live system, a written diagnostic inside five business days. For a new system, a written architecture proposal.
A Production Stabilization Retainer for live but fragile systems: trace decisions, instrument the pipeline, harden the runtime, drive down cost. Or a fixed scope Architect and Build engagement for a new system that has to be audit ready from day one. Elena Rodin leads discovery, owns the architecture and signs off on every technical review.
The work is shown, not described. Trace-Any-Denial is a working diagnostic built around payer AI denials, and the two case studies show the same rescue and stabilize pattern in regulated healthcare AI.
Built to answer one question: when a payer AI denial is challenged by a regulator, an audit or an appeal, can the decision actually be reconstructed? It runs synthetic scenarios drawn from real payer workflows (prior auth, claims AI, UR nurse review, appeals replay) and walks through whether the denial path can be reconstructed end to end within ten minutes.
A live clinical trial prediction platform with AWS spend trending well over budget. Kombocode stabilized the platform and drove down infrastructure cost. AWS spend reduced, saving six figures annually.
An in house LLM for clinical trial patient enrollment had been mothballed as too risky to ship under scrutiny. It was rebuilt to be auditable end to end and carried through review into live production. Live in production, through audit.
Thirty minutes on the phone. We talk about what's live, what's fragile, and what's about to be audited. If there's a fit, we go from there.