Perspective Beyond · Mind Atlas

The Attribution Gap and Capability Loss

T1472

Tegrity.AI

Healthy, growing firms repeatedly destroy capabilities they still depend on — not the weakest applications in a portfolio, but, disproportionately, some of the strongest. This paper explains that paradox as an architecture problem, not a capability problem. In an enterprise, the real information flow (applications transforming information that contributes to what the enterprise sells, delivers, protects, or is required to maintain) and the architecture of that flow (the firm’s model of who contributes what, and who depends on whom) are two distinct levels. The capabilities live on the first level; rationalization decisions are made on the second. The central claim is that the architecture decays relative to reality — and that it decays for economic reasons, not technical ones. The wedge between the two is the attribution gap : the difference between an application’s contribution (the value it really adds, traceable through information lineage) and its attribution (the credit it receives, which is what moves budget). Because making a dependency explicit assigns the property right and transfers the rent to the source, every actor has a standing incentive to keep dependencies implicit while securing the inputs they rely on. Under that incentive the gap’s expected direction is widening across decision cycles — through a control-grab in bad times and a contest of heroes in good times — until the firm can no longer reliably see, on its own map, which capabilities are load-bearing. At the moment of the cut, even with information on the table, the decision turns on will: a governance body asks who will own and be accountable for the critical capability, and the answer is silence. The unowned high-contributor is cut, in the disguise of “retiring legacy” or “not deploying the new,” with its value still in it.

The paper proposes the firm-level theory as practice-grounded and put forward for testing — the phenomenon directly witnessed from both sides of these decisions across roughly twenty-five years of rationalization practice, the mechanism offered for refutation rather than claimed as proven — and states falsifiable predictions on records firms already hold: a discovery gap whose shadow set is enriched for high-contribution applications; the silence at the ownership question; a wedge between acquisition price and subsequent internal attribution; a build-versus-buy inversion traceable as rejected-build-then-external-buy of the same capability; and “rationalization scars,” critical capabilities fragmented into undocumented legacy remnants. A controlled comparison of two governance treatments — clarity-only versus revaluation-then-clarity — is the decisive test. A generalization to the wider economy is offered separately and fenced as conjecture, with its strongest rival (trade and comparative advantage) named.

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Evidence, provenance and attribution · 22.22 %Decisions and responsibility · 14.29 %Economics, costs and liquidity · 14.29 %Human capability and intelligence debt · 12.70 %Business and management · 12.70 %Transformation and operational continuity · 11.11 %Learning and capability transmission · 3.18 %Authority, permissions and delegation · 3.17 %Use cases and applications · 3.17 %Memory, community and territory · 3.17 %

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