Prove What Your AI
Workflows Are Worth
Track AI spend. Tie it to outcomes. Optimize what matters.
Claude Code · Agent SDK · Anthropic API
How the system works
Measure first.
Improve with intent.
01
Track AI spend
Most teams can see total model cost, but not which workflows, agents, tools, or payloads are actually driving it. Spend stays too aggregated to act on.
How
Break usage down by workflow, agent, model, tool call, payload size, retries, latency, and cost per successful completion.
Guide
How to Track AI Spend
Instrument AI systems by workflow so cost becomes visible, attributable, and actionable.
Open guide02
Tie it to outcomes
Spend alone does not tell you whether the system is working. You need to connect each workflow to the quality, speed, cost, or reliability outcome it is supposed to improve.
How
Define success for the workflow first, then map spend and behavior against the business result it is meant to move.
Guide
How to Map AI Workflows to Business Outcomes
Connect technical activity to the workflow metrics and business results the system is supposed to improve.
Open guide03
Optimize what matters
Once spend and outcomes are visible, you can improve the parts of the system that actually matter instead of tuning blindly.
How
Tighten prompts, reduce unnecessary context, improve tool routing, and use the right model for each task.
Guide
How to Improve AI Performance
Use the instruction layer to reduce waste, increase consistency, and improve workflow performance where it counts.
Open guideWhat we benchmark
Four layers. One workflow.
Each layer affects cost, speed, and quality. We measure all four to show where value is and where it isn't.

John Sniezek
Principal, Rockland Group
Built and shipped enterprise SaaS at Atlassian, where vague specs meant real production failures. That experience shapes how I benchmark AI workflows: tie spend to outcomes, find what is wasting effort, and make ROI measurable.
Benchmark an AI workflow.
We'll benchmark one AI workflow and identify the fastest path to proving ROI.
Fixed-scope benchmark. You keep everything.