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How to manage AI investments in the agentic era

Five practical steps to understand AI usage, control spend, and invest in the work that creates the most value.

How to manage AI investments in the agentic era

TL;DR

  • Gain clear visibility into AI usage, who is using it, which models are used, and what work is supported.
  • Evaluate models on outcome ROI, considering the full cost of reaching a desired standard, not just token price.
  • Govern advanced workflows by defining context, tools, actions, approvals, and capacity grants before scaling.
  • Invest in AI workflows that repeat at scale, have clear ownership, and can be measured for value.
  • Match AI product, capacity, and support models to proven demand for production workloads.