The AI value chain a board should see: from spend to verified value

The AI value chain a board should see: from spend to verified value A data-flow diagram generated by Archify. 01 / Invest 02 / Adopt and perform 03 / Change the work 04 / Outcome 05 / Value and decision Investment · build, licences, run · 01 / Invest · owner: CFO Investment build, licences, run owner: CFO Cost ledger · all-in AI spend · 01 / Invest · monthly Cost ledger all-in AI spend monthly Adoption · eligible vs repeat users · 02 / Adopt and perform · owner: business Adoption eligible vs repeat users owner: business Task performance · success, errors, escalations · 02 / Adopt and perform · evals Task performance success, errors, escalations evals Risk and controls · breaches, incidents · 02 / Adopt and perform · owner: CRO Risk and controls breaches, incidents owner: CRO Workflow change · cycle time, rework · 03 / Change the work · baseline set Workflow change cycle time, rework baseline set Evidence quality · forecast, measured, verified · 03 / Change the work · confidence Evidence quality forecast, measured, verified confidence Outcome · customer or ops · 04 / Outcome · counterfactual Outcome customer or ops counterfactual Financial value · per accepted outcome · 05 / Value and decision · owner: exec sponsor Financial value per accepted outcome owner: exec sponsor Board decision · scale, redesign, stop · 05 / Value and decision · review date Board decision scale, redesign, stop review date spend recorded rollout real use failures accepted work vs baseline faster cases rand impact unit cost how sure exposure Legend primary data policy / PII async batch data store data flow