ai:engineers
Forward-deployed engineers who build, not just advise.
Most AI consulting ends at a slide deck. A forward-deployed engineer from out:grow embeds with your team, learns your systems, and builds the thing: custom agents, automations, and integrations running in your own environment.
It's embedded development and consulting in one. Production code wired into your stack, with your team able to run and extend it after we leave.
01:
How a forward-deployed engineer works.
We start inside your environment, not a discovery deck. An engineer sits with your team, maps how the work actually moves, and picks the highest-leverage thing to build first.
Then we build it. Custom AI agents, workflow automations, model integrations: written in your stack, wired into the tools you already use, and shipped to production instead of left as a recommendation.
You're not buying a spec you then have to staff. You get the engineer who writes the code and stays until it runs.
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Embedded in your team
On-site or remote, working in your codebase and your tools, not a detached vendor lobbing deliverables over a wall.
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Build, not just advise
Production AI features and automations, written and shipped, not a roadmap you then have to hire against.
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Knowledge transfer built in
Your team pairs on the work, so when we leave they can run, debug, and extend what we built.
02:
Embedded development and consulting, together.
Traditional consultants advise; traditional dev shops take a spec and disappear. A forward-deployed engineer does both, scoping the problem with you and writing the software that solves it, in the same engagement.
That's how out:grow has always worked: the same hands-on approach we used shipping headless commerce, now pointed at AI.
03:
Built inside your constraints.
Enterprises have security review. Public-sector teams have procurement and data-residency rules. SMEs have a small team and no room for a failed rollout. We build within those limits: your infrastructure, your compliance requirements, your pace.
04:
Related services.
Not sure what to build yet? An AI workflow audit maps the highest-leverage places to start. Once the software is live, we keep it running as models and tools change.