In this post, let's explore why enterprise SAP needs a shared language for autonomy — and the five levels that provide it. Every vendor keynote now promises an “autonomous enterprise.” Every roadmap has AI stamped across it. And yet, walk into almost any SAP operations team on a Tuesday morning, and you will find engineers manually scanning backup logs, hand-running system refreshes, and firefighting the same alerts they were chasing a decade ago. That distance—between the autonomy we claim and the manual reality we live in—is the most underdiscussed problem in enterprise SAP today. I call it the “Operational Autonomy Gap.” And the reason it persists is embarrassingly simple: we have no agreed way to measure it. The Word “Automation” Has Stopped Meaning Anything Ask three SAP leaders whether their landscape is “automated” and you will get three confident yesses, each describing three completely different realities. One means a handful of scheduled jobs. Another means a monitoring dashboard that pages a human. A third means a self-healing system that refreshes non-production landscapes overnight without anyone touching them. They are all “automated.” The word has collapsed under its...
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