Field note
Architecture fails more than models
Agents amplify whatever they land on. Clean the workflow before you automate it.
The hard truth
A smart model on a broken path is still a broken path.
When automation fails in the field, the model is rarely the root cause.
Unclear owners. Missing handoffs. Data that lives in three places. Exceptions that only one person knows how to resolve. Put an agent on that stack and you get faster chaos — rework at machine speed.
Architecture is the boring work that makes models useful: the process map, the source of truth, the approval rules, the failure recovery path. Skip it and the pilot looks clever for a week and dies when the first edge case hits.
The sequence
Foundations → workflows → agents.
Never reverse the order because a demo looked impressive.
Foundations first: knowledge, connections, and who owns each step. Workflows second: the path work actually travels, including exceptions. Agents last: automation that sits on a path the week can absorb.
If the architecture is wrong, a better model will not save you. If the architecture is right, even a plain automation often pays for itself before anything “agentic” ships.
Put a number on it this week.
Thirty minutes on the path already costing you capacity, margin, owner time, or cash — and you leave knowing which one it is.