When Delivery Risk Is Structural

In AI systems, the platform is the execution structure — the way data, models, workflows, infrastructure, and team processes interact under real operational conditions.

I am typically engaged when delivery risk is no longer about effort.

Core product components may function in isolation, yet execution fails under real operational load. Strain becomes visible when:

• Teams struggle to transition from research to production.

• Integration paths between components and infrastructure are unclear or tightly coupled.

• Data, models, workflows, and infrastructure fail to meet service level objectives.

• Delivery and sustainment models cannot reliably support deployment, scaling, or maintenance.

At this point, the problem is often not a feature or component. It is the coherence between platform design and execution.

I assess the platform and its delivery structure together, calibrating rigor where consequence demands it and defining a path to operational stability.