Feasibility Triage: The Five Readiness Checks
Explore how to conduct feasibility triage for AI initiatives by applying five key readiness checks: data readiness, integration and operations, latency and availability, privacy constraints, and oversight capacity. Learn to classify project intake using measurable evidence, identify blockers early, and shape or halt projects based on operational and technical constraints before architecture design begins.
A decision contract states what success would look like. It does not establish whether the idea can be delivered within the stated technical, operational, and organizational constraints. Feasibility triage evaluates that question by classifying an intake using readiness signals that can be supported with early evidence rather than intuition. The key distinction is between a qualified intake, with a measurable outcome and a feasible delivery path under the stated constraints, and one that requires further discovery because its outcomes or constraints cannot yet be tested or reconciled. Feasibility is assessed against the targets already defined in the KPI and measurement plan, together with the constraints that govern delivery and operations. It is not assessed against model capability or the apparent quality of a demo.
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