Embedded AI Team — senior pod for 90 days
Drop-in engineers, PM, and architect integrated with your team — not a vendor relationship.
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Hiring a senior AI team takes 6–9 months. Agency work produces deliverables you can't maintain. The Embedded AI Team is a third path: a pod of senior engineers, a PM, and an architect who sit in your Slack, attend your standups, write your code, and leave you with a codebase and a team that can own it.
What's included
How we work
Best practices for Embedded AI Team
Grant repo write access and production read access by day one
A team that spends week 1 waiting for credentials loses a full sprint before writing a line of code.
Set a PR review SLA on day one
Embedded teams without clear integration norms slow down within a week. A simple 24-hour review SLA prevents the most common bottleneck.
Pair on architecture decisions in the first two weeks
Architecture decisions made in isolation in month one are expensive to revisit in month three. Pair early.
Start knowledge transfer documentation in week 1, not week 10
Async documentation written while context is fresh is an order of magnitude better than a handover doc written under deadline pressure.
From Evolve Edge
“The best strategy is the one your engineering team can actually execute. We've worked on both sides of that divide — and we close it.”
FAQ
Have Questions? Let's Talk.
Free 30 minute call with a senior engineer, not a salesperson. We have got the answers to your questions.