agentic AI

SLAs for autonomous support: what to measure when an agent, not an engineer, closes the ticket

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The AI just closed forty tickets before your coffee cooled and your SLA dashboard is green. That tells you almost nothing about whether the problems stayed fixed — and in an SAP landscape, the gap between “closed” and “solved” is where your next P1 is hiding.

What an SAP AI agent actually costs to run: the token, license, and human-review math behind the demo

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Behind every thirty-second agent demo sit three separate meters — model tokens, SAP AI Units, and the human who has to approve what the agent posts. The one nobody prices is the one that decides the business case.