
One under-discussed AI problem in enterprise software:
ownership gets blurry.
In traditional systems, when something breaks, someone usually owns the workflow, decision, or system.
With AI-native systems, execution increasingly moves across agents, automations, temporary workloads, and inherited permissions.
The technical problem is visibility.
The harder organizational problem is accountability.
Because during an outage, audit, customer escalation, or legal review, the question becomes:
Who actually owned this decision path?
Not every AI problem is a model problem.
Some are coordination problems hiding inside automation.