Operations teams were reading insurer correspondence and keying it into billing systems by hand, every day, at volume. I audited the manual effort, built the business case, won leadership approval and specified an OCR and generative AI solution using a retrieval-augmented generation architecture.
I set the quality bar at 99% accuracy and designed exception handling that sent uncertain outputs to a person rather than shipping them. I spotted early that we needed a Business Associate Agreement with OpenAI and secured it before it could block the build. The solution removed close to 70% of the manual effort and has processed more than two million documents.
Uptake stalled at first while teams adjusted to reviewing only the exceptions rather than every item. I reworked the process around how they were actually using it and retrained them until it delivered what it promised.
I also brought AI into our own delivery lifecycle for requirement decomposition, prototyping and automated testing, including working prototypes that made intent unambiguous. That shortened delivery cycles by more than 30% for the whole team. The wider AI program covered coding automation, payments automation, denial prediction and claim correction.