You don't have to choose between moving fast and staying in control. We retool your pipeline so AI does the producing, testing, and iterating — and your engineers decide what ships. A 3–6 month embedded engagement, with humans firmly in control the whole way.
Every engineering leader has read the headlines. Most teams still aren't using AI in any meaningful way — and it isn't because the engineers aren't capable. Adopting AI-assisted development isn't a tooling change. It's an organizational one.
You can't hand a developer a code-assistant license and expect results. The repositories aren't structured for it. The review process doesn't account for it. The testing strategy doesn't leverage it. So leaders who know they need to move sit paralyzed — convinced they must either stop everything and start over, or give up the human judgment that keeps software trustworthy. Neither is true.
We retool the pipeline incrementally, without pausing delivery, with humans firmly in control of what ships.
Your engineers stop being the people who produce code and start being the people who ensure the right code gets produced.
AI handles generation, testing, and iteration. Your engineers become the planners, reviewers, and orchestrators — the quality layer that decides what ships. That role is more valuable, not less. And it's the one that actually scales.
We audit your engineering workflows end to end: repos, CI/CD, branching, testing, review, deployment. We map where AI delivers immediate value and where friction will slow adoption.
We restructure repositories, testing infrastructure, branching strategy, and review processes — the groundwork that makes everything else possible.
Hands-on sessions, office hours, and 1-on-1 tutoring that build five interlocking skills — the ones that make AI-assisted development sustainable and fast.
We transfer ownership to your internal champion, document everything, and run a final assessment against baseline metrics — so your team keeps evolving without us.
We don't teach theory and we don't run lunch-and-learns. We sit with your engineers, change how they work, and make the change stick. Five skills compound into a faster, more reviewable pipeline.
Every engagement starts with a Discovery Sprint. Most teams move to a full Accelerator once they see what's possible. Minimum 3-month commitment on the full engagement.
A focused audit of your engineering workflows and AI readiness. You leave with a prioritized, ROI-ranked adoption roadmap and a clear picture of what's possible.
We build a production-ready proof of concept against your highest-value use case — monitoring, fallbacks, and a trained internal champion included.
The complete embedded engagement. We retool your entire engineering organization to build with AI — workflows, infrastructure, skills, and culture.
The hours aren't the product — the compounding velocity is. For a 10-person engineering team on a $1.5M fully-loaded annual payroll, a conservative 25% velocity gain represents roughly $375K in recurring annual value. The Accelerator costs the equivalent of hiring two or three additional engineers for a few months — except the engineers leave and the velocity gains don't.
Tell us where you are. We'll tell you whether the Accelerator is the right fit — and what it would look like for your pipeline. Most teams start with a two-week Discovery Sprint.
* The velocity gains, ROI, and payback figures shown are illustrative estimates based on conservative assumptions. Actual results are not guaranteed and will vary from client to client depending on team size, codebase, tooling, and starting point.