#roi
Proving return on technology investment, honestly.
Tagged articles (8)

The Balancing Item: The AI Oversight Cost Your Business Case Never Priced
Every AI business case counts the hours saved. Almost none counts the oversight hours added, and people are silently absorbing the difference.

The Appreciating Ledger: When AI Capital Outgrows the CFO's Rulebook
AI capital appreciates, accumulates, and crosses functions. The four indicator types let CFOs see what conventional project-ROI models structurally cannot.

The Verification Premium: What Classical Training Reveals About AI Coding Costs
AI coding tools amplify the expertise gap rather than closing it: senior developers capture twice the gains. The verification premium is the cost nobody budgets.

AI’s Hidden ROI: Measuring Second and Third-Order Effects for Board Decisions
AI's largest returns arrive late, as second- and third-order effects on capability and business model. Boards need leading and predictive indicators to see them.

Rethinking Business Cases in the Age of AI: Building Your AI Business Case
A disciplined AI business case balances financial rigour with AI's unusual value patterns: the step-by-step construction, from opportunity to a case a Board can sign.

Rethinking Business Cases in the Age of AI: Creating the Foundation
AI's parallel, multi-speed adoption breaks the sequential logic of traditional business cases. These are the building blocks an evaluation needs before any number is written.

Rethinking Business Cases in the Age of AI: What Boards Need to Know
Traditional business case methods assume sequential adoption. AI runs in parallel across maturity stages at once, and the valuation has to change with it.

Measuring AI value: A strategic framework for Boards and business leaders
Measuring AI value needs more than total cost of ownership. A strategic framework for Boards, built on what the cloud business case taught me.
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