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Research Topic

Enterprise AI ROI

Enterprise AI ROI is not a prompting problem. It is an organizational and measurement problem. Model API costs are 10 to 20 percent of what AI actually costs to deploy; the remaining 80 percent is infrastructure, integration, evaluation, and maintenance that most budgets silently exclude. Teams that measure AI on usage or cost avoidance wonder why the CFO cannot see the value; teams that measure it on irreversible-decisions-per-quarter build a story the P&L accepts. The papers below are the framework we use with late-stage clients who need to show returns inside a single fiscal year.

Research Papers
The Integration Tax
Hidden costs of integrating AI into existing workflows and systems.
The Six Percent
The small fraction of organizations getting real value from AI — and what they do differently.
The Measurement Problem
How enterprises measure AI ROI and where standard metrics fail.
The Mandate Trap
Top-down AI mandates vs. bottom-up adoption — which actually drives results.

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