Insights
Benchmarking Agent Economics: What Normal Costs Look Like by Vertical
There is no universal “right” agent cost. Verticals differ in outcome definition, human baseline, and risk tolerance. Benchmarking agent economics means comparing like outcomes inside a peer set — then explaining variance with attribution data.
Build an honest benchmark
Normalize on outcome, include tool and retry spend, and separate pilot from production. Publish internal benchmarks before chasing external vanity numbers.
Use cost per outcome and the 2026 AI Agent Economics Report. Meridian · Assessment.
About Brian Diamond
Brian Diamond is a fractional Chief AI Officer who works with mid-market and enterprise organizations on AI strategy, governance, and operations. In 2001 he founded LanStatus, a managed services provider based in Trumbull, Connecticut, with named partnerships across Microsoft, HPE, Citrix, and VMware. He brings 25 years of infrastructure operations to AI leadership and publishes the CAIO Brief.
Also publishes at: day9.coffee · ChiliStation · PlotLuck · Beacon
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