Capacity that runs at our pace, not just more people on your roster.
AI Squads embeds an Altamira-staffed team inside your own delivery — but that team runs the same AI SDLC as a full build, so it moves at that pace too. This isn't standard staff augmentation with an AI label on it.
What's actually different from ordinary staff augmentation
Architecture approval, requirement validation, independent review — the same gates a full Altamira delivery goes through, applied to work that sits inside your team.
A named person on the squad accepts finished work against its criteria — same discipline as any other Altamira engagement, not a looser standard because the team sits inside yours.
No months-long recruiting and onboarding — a squad that's ready to work at AI SDLC speed from the start.
The tradeoff staff augmentation normally forces — control or velocity — doesn't apply here.
Where this fits
If you want the whole system handed off, finished, without keeping any of the build in-house, that's AI-Accelerated Software Delivery — the other Foundation offer. AI Squads is the right fit when you want to keep the work embedded in your own team, but need it moving faster than your current capacity allows. Both run on the same AI SDLC and reach the same speed. The difference is how much of the work you want to keep close, and that's worth a conversation rather than a guess.
Proven, not promised
DRAFT — full case studies coming soon
The same AI SDLC that took a stalled rebuild from eleven months of no result to three months in production, and shipped a greenfield build with a team of 1.2, is what your squad runs on too — the pipeline discipline doesn't change based on where the team sits.
See the case studies →You'd rather hand off the whole problem and not manage any part of the build yourself — that's a better fit for AI-Accelerated Software Delivery. That's a five-minute conversation to confirm either way.