Healthcare is letting machines write the evidence that future machines will trust. Without machine-readable provenance, AI-generated documentation becomes indistinguishable from direct observation.
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Prepared as follow up to our previous article, The AI Agent Graveyard. We argue both sides of the agentic AI debate — the compounding-error case against it and the architectural case for it — then lay out the reference architecture, autonomy model, and governance controls that separate agents that die at month eighteen from agents that run the business.
Healthcare integration frequently creates new copies of sensitive data across staging databases, file shares, message queues, logs, and backup systems. Brandywine Consulting Partners takes a different approach: transform the transaction, deliver it to the authorized destination, and retain none of the client payload.
Most healthcare AI pilots fail within 18 months — not from bad algorithms, but from missing governance, auditability, and deployment discipline. Inside the three silent killers and how to build AI that survives production.