AI across the surgical journey.
Explained through a clinical lens.

• Who has the problem, and how serious is it?
• What happens today without this product?
• Which decision or outcome should change?

Output: A clinical problem and intended-use brief.

• Where does the tool enter the pathway?
• Who receives its output, and what must they do?
• Where does it remove work, add work or transfer risk?

Output: A current and proposed workflow map.

• What is a manufacturer claim and what has been evaluated?
• Does the evidence match this version, setting and patient group?
• Which uncertainty would change the decision?

Output: A claims-to-evidence map and evidence priorities.

• Who uses, champions, buys and pays for the product?
• Does the benefit reach the person or organisation bearing the cost?
• What must be true for the adoption or investment case to hold?

Output: A buyer map, value proposition and business-case assumptions.

• What could go wrong, for whom and with what consequence?
• Who owns oversight, escalation and fallback procedures?
• Which clinical, technical or regulatory questions require appointed specialists?

Output: A risk and responsibility map with specialist-review actions.

• What pilot or next step would test the important assumptions?
• What must users learn, and who will support them?
• What findings would justify progressing, changing or stopping?

Output: An adoption plan with measures, owners and decision checkpoints.