The five levels of an agentic enterprise
Levels one to five did for self-driving what the industry has lacked for enterprise AI: a scale diagnosed from evidence, that an architect can argue with, and that tells a CEO what the next rung is worth.
“Make the company AI” has no definition.
A $20 chat subscription, an MCP server bolted onto the product and a firewall around everything have all been called that. The levels replace the slogan with a measurement: what can an agent do against your systems today, and what would it take to do more.

Five rungs, each diagnosed from evidence.

Ten dimensions, scored from evidence, with no questionnaire.
Ten dimensions are scored per application from evidence, from a callable interface to per-agent identity. A use case's level is the lowest rung that every system it touches can support. That is why most enterprises diagnose at L0 or L1 even with a dozen pilots running.


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