What a forward-deployed engineer actually does
Not a consultant with a slide deck and not a contractor waiting for tickets. An engineer who works where the work happens, learns it from the people doing it, and ships in pieces they can use.
The fastest way to build the wrong system is to learn an operation from a requirements document. The document describes the process as someone believes it runs. The people doing the work know how it actually runs — the workaround for the vendor who always sends the wrong form, the customer who needs a call instead of an email, the approval that only happens on Tuesdays.
A forward-deployed engineer closes that gap by working where the work happens.
Where they sit
At the counter, on the floor, in the inbox — or inside your tools, with the same access your team has. The first days are mostly watching and asking: where does this come from, where does it go, what happens when it's wrong?
What they draw
A map of the work as it really moves: every input, every handoff, every place something waits, every place someone re-types what another system already knows. Drawn with the people who do it, so they recognise it — and correct it.
What they decide
Each job on the map gets a verdict: a rule, a model, software or a person — with the reason written down, and the order to build in. This is where most of the value is. It's also where the most money is saved, because it's where "let's add AI" becomes "let's write the rule" for most of the list.
What they ship
Small pieces your team uses right away. An integration that ends a daily copy-and-paste. A queue that shows exceptions instead of everything. A model that drafts the replies someone was writing by hand — measured before it goes live, reviewed after.
Working software in use teaches everyone more than a plan does, so the plan keeps getting better as the work ships.
How it ends
With your team running it. Code in your repository, infrastructure in your accounts, runbooks they can follow, and people who have paired on the work long enough to own it. If you want the engineers to stay on and keep improving it, they can. If you don't, you shouldn't need them.
Embedded engineeringAuzi is an AI and systems engineering company. We embed with teams, map how the work really moves, and build what it needs — then hand it over for them to own.
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An hour with the people who run it is usually enough to see where a rule, a model, software or a person belongs.