A public healthcare organization was rolling out an AI assistance solution. The technology was the easy part. Governance and clear decisions were the hard part.

In a public healthcare setting, an AI rollout lives or dies on trust and traceability. The team needed a structured way to define requirements, evaluate options, and defend each decision to stakeholders who rightly ask hard questions.
The rollout got a backbone: clear requirements, a defensible evaluation, and decisions stakeholders could stand behind.
Client names are generalized. The work is real; the labels are not.