Most decision failures are not caused by bad intent or missing information. They are caused by structural problems — evidence layers that contradict each other, point toward incompatible outcomes, or fail to hold under pressure.
A decision can be built on accurate data and still be structurally compromised. When financial projections assume one timeline and operational constraints require another, the decision is broken at the structural level — regardless of how accurate each layer is in isolation.
Prediction models estimate what will happen. They optimize for accuracy against historical patterns. They do not evaluate whether the decision is structurally ready to be executed.
A prediction can tell you that a drug candidate has a 70% probability of Phase 3 success. It cannot tell you whether the evidence layers supporting the investment decision are internally consistent — whether the mechanistic rationale, the genetic population data, and the clinical trial design converge toward the same conclusion.
TAC evaluates three structural dimensions across the evidence assembly of any decision: