order → automate → augment
the only sequence that makes ai stick.
most teams put augment first and wonder why nothing lasts past q2. the ladder is sequential. every rung compounds the next.
01 order workflows clear. ownership real. knowledge captured. skip this rung and everything above just amplifies what was already broken.
teams treat "order" as a sprint or a checkbox. it isn't. order means the work itself is coherent — same task done the same way across people, decisions documented as decisions instead of clicks, knowledge findable without needing someone in the room.
the smell test: pick the workflow you most want to automate. ask three people who do it to describe it independently. if you get three answers, you don't have a workflow — you have a habit.
the bar isn't perfection. it's that someone new can join, read what's written, and do the work without watching anyone. when that's true, you've cleared rung 01.
02 automate deterministic work belongs to deterministic tools. skip this rung and you'll pay for ai to do what a script would have done — at ten times the cost.
most teams confuse "we need ai" with "we have a workflow that's slow." slow isn't intelligence. slow is plumbing. before you reach for a model, ask: could a script do this? a zap? a webhook? if yes, do that. cheaper to build, easier to debug, won't hallucinate at 3am.
the smell test: list every task you want to automate. mark each one — deterministic (same input → same output) or judgment-based (depends on context). if 80% are deterministic, you don't have an ai project. you have a workflow automation project wearing an ai costume.
the bar: every deterministic step is already automated — with monitoring, logs, retries. only then are the remaining gaps places where intelligence creates leverage. that's when you move to augment.
03 augment apply ai only where deterministic tools couldn't reach. skip rungs 01 and 02, and your ai initiative doesn't last past q2.
this rung exists last for a reason. most teams put it first — buy a model, wrap it in a chatbot, call it a strategy. six months later they explain to the board why nothing changed. the order isn't optional; it's the framework. every other sequence subtracts.
augmentation is what's left after order and automation have done their work. same input, different correct outputs depending on context — that's where intelligence creates leverage. interpretation, classification, generation, judgment. the rest is plumbing pretending to be intelligence.
the bar: name three places — specific, not generic — where intelligence solves a problem deterministic tools couldn't. if you can't, you're not augmenting. you're decorating.