A model can generate an answer. Dependable work needs a system around that answer.
When intelligence participates in a real workflow, it needs the context to understand the task, the tools to make progress, and clear limits on what it may do. Those conditions are not product decoration. They are the operating layer that makes capable intelligence useful.
Execution needs continuity
Work has a beginning, a state, dependencies and a record of what has changed. An agent runtime coordinates that continuity so an AI employee can move through a task without treating every step as an isolated conversation.
Context should belong to the work
Knowledge gives a system the information required to operate inside an organization. It is the relevant business context connected to a role, a task and the people responsible for it.
Authority must be explicit
Permissions, review points and approvals make it clear when a system can proceed and when a person should decide. Human control is part of the architecture, not an exception to it.
Models are one layer
Models provide intelligence. The surrounding layers make that intelligence legible, connected and dependable.