Authority is earned, not granted by title
The organisation chart answers one question: who reports to whom. It says little about who can actually do what, how well, and with what limits. As AI systems take on real work beside people, that gap becomes a problem. A company needs to know what each person and each system is able and allowed to do.
Work done by a mix
A process today may involve permanent staff, outside specialists, contractors and several automated systems. Each contributes something. Treating them as separate worlds, people managed by HR, contractors by purchasing, software by IT, hides how the work actually gets done and who is responsible for each part.
The useful view is a list of capabilities: what needs to be done, who or what can do it, how well they have done it so far, and who is available. Teams are then put together from that list for each piece of work, rather than fixed in advance by the chart.
Start narrow, widen on results
The rule that makes this safe applies equally to people and systems: new participants start with narrow authority, and it grows only as their results prove they can handle more. A new automated system first proposes and a person decides. When its proposals are consistently right, it may act alone on small amounts. Later, on larger ones. The same logic applies to a new employee or a new contractor.
Authority based on demonstrated results is fairer than authority based on title, and much safer when some of the participants are machines.
Write the boundaries down
For each important type of decision, record who or what may decide, up to what limit, and where it goes when the limit is exceeded. This map replaces the vague assumption that whoever has the right title can approve anything.
Start with one process. List everyone and everything that takes part, what each may decide alone, and what has to be escalated. You will find decisions nobody owns and limits nobody set. Fix those, and the process is ready for more automation.