AI Cost Control: Applying FinOps to Models, Tokens and Business Value
AI cost control links model and infrastructure consumption to an accountable workflow, measurable outcome, quality threshold, budget, and optimization cycle.
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Using AI with accountable decisions, measured value, and human control.
AI cost control links model and infrastructure consumption to an accountable workflow, measurable outcome, quality threshold, budget, and optimization cycle.
Read articleSMEs can govern AI with a small use-case register, clear owners, risk tiers, data rules, evaluations, human decisions, monitoring, and retirement criteria.
Read articleAI agents can coordinate multi-step work across tools, but SMEs should constrain permissions, preserve human decisions, test failures, and measure outcomes.
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