Evidence-Led Delivery
Every iteration must prove something.
Inference Clinical delivers through small, bounded iterations designed to reduce uncertainty and accumulate proof. Progress is measured by confidence gained, not activity, velocity, or feature count.
The Delivery Loop
Frame the Risk
Each iteration begins by explicitly naming the risk or assumption being tested — clinical, technical, operational, or governance-related. If the risk cannot be clearly stated, the work is not ready to start.
Build the Smallest Proof
We build the minimum artefact required to test that assumption. This may be a single signal flowing end-to-end, a governance walkthrough, or a safety threshold demonstrated in a controlled environment. The goal is proof, not completeness.
Show It Working
Progress is demonstrated early and directly. Work is walked through, questioned, and challenged in the open. An iteration is not considered complete until it has been seen and understood by the people who need to trust it.
Capture Evidence
Each cycle leaves behind tangible evidence: working artefacts, decisions, audit-ready logs, and documented outcomes. This evidence accumulates and becomes the foundation for governance, assurance, and scale.
Adjust the Next Step
Feedback reshapes what comes next. The following iteration is informed by what was learned, what surprised us, and which risks now matter most.
In regulated environments, confidence is built incrementally or not at all.