Agentic FinOps : The Practitioner's Implementation Handbook by Anil Prakash Singh
English | June 16, 2026 | ASIN: B0H5L21VR4 | 176 pages | EPUB | 0.40 Mb
Cloud FinOps gave organizations a shared language for the cost of software. Autonomous AI breaks its assumptions. An agent is not a resource a person uses. It is digital labor that consumes resources, exercises judgment, acts in the world, and is sometimes wrong. A token meter measures activity. It does not measure cost. The real cost object is a verified, successful outcome.
This handbook builds the unit economics of that outcome end to end, in a form a practitioner team can put to work. It introduces the Total Cost per Successful Outcome (CPSO*): direct cost amplified by unreliability, plus an error tax that token meters never see, plus governance that amortizes with scale. It shows why the invoice can understate true cost by 17 to 123 times, and why tokens are often a single-digit share of what an outcome really costs.
Inside:
A five-pool cost model and the reliability term that turns spend into cost per success.
The cost of being wrong, priced explicitly as an error tax rather than left invisible.
The tokenomics gap that exposes what the bill hides.
The Autonomy-Cost Frontier: how much an agent should decide alone as the stakes rise, and the build-versus-buy threshold.
One event stream, two ledgers: running cost and runtime governance as a single control loop.
Reference architecture, functional and industry playbooks, KPIs, a convergence maturity model, and a 30-day quick start to your first real numbers.
Who it is for: enterprise and solution architects, FinOps and platform leaders, AI governance and risk owners, and the CDAIO or CAIO who has to defend the spend.
The figures are illustrative. The method is exact.
A plain-language executive on-ramp, the Business Leader's Guide, is available as a companion.
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