AI Pivot Squad
A senior AI squad that embeds with your team, ships production systems, and builds internal capability — in one engagement. You end with working software and a team that can own it.
Most AI consultants leave you with a demo. We leave you with a running system and a team that built it.
We define what "done" looks like before we start. Each engagement begins with a 2-day scoping workshop where we agree on scope, success metrics, and week-4 deliverable. No scope creep — scope changes extend the timeline, not the bill.
Our engineers work in your repo, your standups, your Slack. We write code your team reviews. We make architectural decisions your team understands. The point is capability transfer, not dependency creation.
Everything we ship is production-grade: tested, documented, observable, and deployable by your team without us in the room. We have never handed over a prototype and called it done.
Your engineers pair with ours from day one. By the end, they have built parts of the system themselves, understand every architectural decision, and have the confidence to extend it. No classroom — learn by shipping.
Every Pivot Squad engagement covers delivery, enablement, and handover — not just code.
| Component | What we deliver | Your team gets |
|---|---|---|
| Scoping sprint | 2-day workshop, scope definition, success criteria, week-4 milestone | Agreed delivery plan, architecture proposal, risk register |
| AI system delivery | Production-grade AI components in your codebase, tested and observable | Working software that handles real data and real load |
| Architecture | Extensible design your team can build on, documented decisions and trade-offs | ADRs, system diagrams, extension playbook |
| Pair engineering | Daily pairing sessions, code reviews, architectural walkthroughs | Engineers who built it with us and can extend it without us |
| Runbooks | Operational documentation, monitoring setup, incident response guides | Confidence to operate the system independently from day one |
| Hypercare | 30-day post-handover support window, async on Slack | Safety net while your team builds confidence operating independently |
Each engagement is different. Here are representative examples of what the first sprint typically delivers.
A 30-minute scoping call is usually enough to tell. We will talk through your team's current capability, what you are trying to ship, and whether this engagement model is the right fit — or point you to one that is.
By week 4 your team has a working AI system in staging — not a demo, not a prototype. A production-grade component that handles real data. We size the first sprint deliberately to hit something meaningful within the first month, then build from there.
Training is not a classroom at the end. Your people pair with our engineers from day one. By the time we hand over, they have built parts of the system themselves, understand the architecture, and can extend it without us. We document every decision in plain language.
We have run this with 8-person engineering teams and 200-person organizations. The model scales by adjusting squad size and engagement length, not by changing the approach. Most SMB engagements run 8-16 weeks. Scale-ups with larger scope run 16-24 weeks.
No. We specifically designed this for teams shipping AI for the first time. Your engineers need solid fundamentals (backend, APIs, data) but no prior ML experience. The training component builds that capability during the engagement.
We agree on scope before we start, and we hold to it. If your needs grow, we extend the engagement rather than expand scope mid-sprint. This keeps delivery predictable and avoids the slow-burn overrun that kills most consulting projects.
A freelancer delivers code. We deliver a working system, a trained team, documentation, and an architecture your engineers can extend for years. The senior engineers on our squad average 15 years of experience — that institutional knowledge transfers to your team, not just the code.
Tell us what you are trying to build. We will scope the first sprint, define the week-4 milestone, and show you exactly what your team will own at the end.