AI economics

Adoption-led AI economics

AI economics depends on adoption curves, reviewer load, and workflow coverage, not just automation potential in a spreadsheet.

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Unit economics for agentic workflows

Agentic workflows need unit economics that include model spend, tool calls, review effort, exception handling, and avoided operating cost.

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Benchmarks that matter after AI go-live

Track resolution share, reviewer load, exception recovery, unit cost, latency, and quality deltas once the system is live.

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The economics of production AI programs

Estimate value with baseline volume, cycle time, exception rate, adoption curve, and operating cost instead of generic AI claims.

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Adoption ramp model

Model for forecasting and reviewing AI adoption by cohort, workflow class, enablement event, and abandonment signal.

AI ROI model worksheet

Worksheet for estimating automation value from volume, cycle time, labor mix, quality lift, and operating cost.

Benchmark instrumentation checklist

Checklist for proving production AI value through measurable throughput, quality, cost, and risk signals.

Unit economics control sheet

Control sheet for cost per completed outcome across model spend, tool calls, retrieval, review effort, exceptions, and support.