Frameworks: the Valuemaxxing toolkit
Tools, not theory. Each framework here does one job, names its own limits, and ends with the strongest case against itself. Start with the ladder if you measure things, the iceberg if you govern them.
The distinction ladder
Five rungs every AI metric belongs on, and the question that kills vanity dashboards.
The AI iceberg
Value is the visible tip. The submerged base is what keeps it afloat, and what most programmes forget to fund.
The productivity J-curve
Why AI returns lag investment by design, and how to tell a dip from a failure.
The metrics framework
The reference set: attribution coverage, cost per successful outcome, four value dimensions, honest maturity tags.
Token economics explained
The anatomy of a token bill: input and output, caching, context, agent loops, and where the meter ends.
AI Value Management Layers
How the discipline stacks, from instrumentation to investment governance.
AI Economics Maturity Model
Five levels from blind spend to value-led scaling.
AI TCO Framework
What AI actually costs: the seven categories the meter does not show.
AI Economics KPIs
The KPI library, led by attribution coverage.