Building the enterprise environment for agentic AI
What's happening
Agentic AI for enterprises means software agents that execute business tasks end-to-end across people, workflows, data, and systems, not just improved chatbots. The platform to run those agents needs proper CPU capacity, resilient data access, policy-aware tool use, observability, and memory management. Conversation about agentic operating systems highlights trust problems and argues an audit layer will be needed beneath the AI. Cloud procurement is already being shaped by the rise of agentic AI (question framed: how is agentic AI shaping cloud procurement?).
Why it's trending
Because organizations are moving from single-chatbot use cases to production-grade, policy-aware agents that require new infrastructure, observability, and procurement decisions.
SignalNewly emerging, confirmed across 2 independent source types.
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If your company wants agents that do real work, here are the five infrastructure pieces you actually need today, not someday.
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Original sources3
- How Is Agentic AI Shaping Cloud Procurement?AIM Media HouseJul 27
- Agentic operating systems will need an audit layer beneath the AI
I had an interesting conversation with ChatGPT about what an agentic operating system might look like and the trust problems that would come with it. Below is a compiled summary that I had ChatGPT construct for this post. The full conversation is linked at the bottom, though the first few prompts are about the singularity before the discussion moves into operating systems. I don’t think an agentic
r/artificialJul 27 - Building the enterprise environment for agentic AI
For the enterprise, the promise of agentic AI is much more than just a better chatbot. It is software agents that execute business tasks end-to-end across people, business workflows, data, and systems. The platform best-suited to run agents is built with proper CPU capacity, resilient data access, policy-aware tool use, observability, memory management, and the…
MIT Tech ReviewJul 27
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