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# How to manage AI investments in the agentic era

**[OpenAI](https://daily.dev/sources/openai)** · 6 min read · 0 upvotes · 0 comments

## Summary

Enterprise leaders need to shift from measuring token costs to measuring useful work per dollar as AI moves into agentic workflows. Five practical steps are outlined: gaining visibility into AI usage across teams and models, evaluating models on full cost-per-accepted-outcome rather than token price alone, treating governance as the operating layer that determines what AI work can scale, managing AI investments as a portfolio with funding matched to workflow maturity, and aligning commercial structures (Guaranteed Capacity, Scale Tier, Batch API, Prompt Caching) to production usage patterns. OpenAI's ChatGPT Work admin controls, spend limits, and deployment engineering services are positioned as tools to support this approach.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://openai.com/index/managing-ai-investments-in-agentic-era>

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Tags: [#ai](https://daily.dev/tags/ai), [#ai-agents](https://daily.dev/tags/ai-agents), [#openai](https://daily.dev/tags/openai), [#finops](https://daily.dev/tags/finops), [#ai-governance](https://daily.dev/tags/ai-governance)

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