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Payback is short, first-year ROI stays positive after a confidence haircut, and the workflow is stable enough to measure.
// Stratum Praxis · Free decision tool · 2026
Before approving another agent, model the part most ROI calculators miss: the work the agent does not handle, human-review overhead, recurring run cost and the implementation bill.
Planning model only. No guaranteed savings or financial, accounting, legal, procurement or security advice.
Model one workflow
The confidence haircut deliberately reduces modeled labor savings. Use it when automation rate, adoption, workflow volume or quality is uncertain.
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Why model this now
Gartner said in August 2026 that inference cost per agentic workflow could rise more than fivefold through 2028 as multistep reasoning consumes more compute, even while unit token economics improve. The practical consequence is simple: model recurring operating cost and human oversight before using an agent as a cost-saving story.
Industry context: Gartner, Aug. 17, 2026. This calculator is independent and is not affiliated with Gartner.
Translate the math into a buying decision
Payback is short, first-year ROI stays positive after a confidence haircut, and the workflow is stable enough to measure.
The economics may work, but uncertainty is still too high. Validate volume, automation rate, quality and review burden on a bounded workflow.
Value is close to cost. Challenge plan size, tooling overlap, implementation scope and whether a simpler workflow change beats an agent.
Net monthly value is negative or payback is too long for the risk. Do not automate merely because the capability exists.
FAQ
Model/API usage, orchestration, automation software, hosting, monitoring and other recurring tooling directly required by the workflow.
An agent can handle part of a task while still creating a review queue. Ignoring that queue overstates the value returned to the business.
Early pilots often use optimistic assumptions. A haircut creates a conservative scenario before money is committed.
No. Security, reliability, data handling, workflow stability and strategic fit can still make a positive-looking project a bad decision.