Salik Tehami MD/MBA

May 14, 2026

Sample: AI infrastructure review

A review format for evaluating the infrastructure beneath healthcare AI workflows: retrieval, evals, observability, agents, and deployment boundaries.

review working thesis ai infra builders

Sample review format. Replace this with a real infrastructure product, public docs, and implementation evidence before publishing.

Infrastructure reviews should ask a different question than buyer-facing tool reviews. The visible product may be a workflow, but the risk usually sits underneath it: retrieval boundaries, eval design, observability, audit logs, permissions, and deployment behavior.

The claim

The platform says it helps teams ship reliable AI workflows with retrieval, monitoring, and human review.

That claim matters only if it makes the failure modes inspectable.

The infrastructure test

Figure 1. Mock infrastructure review surface. Reliability is easier to trust when each layer exposes its own failure state.

The review should separate three things:

  1. What the platform can observe.
  2. What the platform can prevent.
  3. What still depends on the healthcare organization having clean ownership of the source system.

The decision answer

The infrastructure is strongest when it narrows the unknowns. If it only adds abstraction while leaving source quality, review ownership, and audit behavior vague, it is probably not infrastructure yet. It is packaging.