Measure what your AI spend returns to the business
Show how AI gets more efficient as usage grows
Connect AI cost to the value it produces
Use unit economics wherever AI has to justify its budget
Report to the board
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Price an AI feature
Plan next year's budget
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Run the business unit review
Recap optimization work
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Measure cost per inference for one of your AI features
Join what each AI feature costs with the business metric it serves, then track cost per outcome over time. OneLens does this from provider billing data, so finance sees cost per inference, cost per customer and realized savings for every feature.
AI ROI = (value delivered − full AI cost) ÷ full AI cost. For unit economics, cost per outcome = cost per token × tokens per task × tasks per outcome. Track both monthly, so a rising total is read against falling unit cost.
Track cost per inference, cost per thousand tokens, cost per customer, AI gross margin by customer and realized savings. Total AI spend alone can mislead, because usage can grow faster than cost while each request gets cheaper.
Show usage growth beside cost per inference on one chart, then list realized savings by team. Count savings only once the change is live and the bill reflects it, so the board sees verified numbers rather than pipeline estimates.
OneLens by Astuto connects to providers such as OpenAI, Anthropic and AWS Bedrock with read-only billing access. It calculates unit cost per AI feature, finds savings with expected value and risk, and rolls AI ROI up by team and business unit.
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