Engineering partnerships for teams shipping AI where mistakes are expensive.
Seven ways I plug into a team — from a fixed readiness review to a full 0-to-1 build — with one engineer accountable from the first whiteboard to the last deploy.
Each service runs at the scale that matches your problem. We narrow it together on the discovery call.
Micro
A focused, time-boxed sprint.
Scope
1–3 weeks. One deliverable.
Outcome
Architecture review, working spike, audit, or a written technical strategy you can act on.
Ideal for
Validating an approach before committing, second opinions, or unblocking one specific bottleneck.
MVP
Ship the first real version.
Scope
1–3 months. One coherent product surface, end-to-end.
Outcome
A working feature or product slice live in production, instrumented, and ready for your team to iterate on.
Ideal for
Launching a new AI feature, replatforming a workflow, or building a focused 0→1 product.
Enterprise
Multi-quarter build or sustained engagement.
Scope
3+ months. Multiple workstreams, often with retained advisory alongside.
Outcome
A platform your team owns and operates — hardening, observability, runbooks, and handover baked in from day one.
Ideal for
Regulated rollouts, multi-team integrations, or work where mistakes are genuinely expensive.
What I take on
This is for you if
You're past pre-seed — there's revenue, funding, or an enterprise contract that makes engineering quality a board-level concern.
You operate in regulated, high-trust, or high-stakes environments where 'move fast and break things' isn't an option.
You have systems that work and matter, and you need AI integrated alongside them — not a green-field rebuild.
You've been burned by a generic AI wrapper before and now you need someone who can show you the architecture, not just the demo.
You've built an AI product with coding tools and you're about to put customers or their data on it.
Your industry isn't on anyone's list of "AI-ready" sectors, but the work involves money, records, or people's data.
This probably isn't a fit if
You're looking for someone to build your idea for equity, or you expect a $50K MVP for $3K.
You're a non-technical agency owner who wants to white-label senior engineering work at a junior margin.
You want AI because you read about it, but your business doesn't yet have the operational maturity (or budget) to maintain software you didn't build yourself.
Most of my work has been in payments, finance operations, and B2B software. The problems I take on look the same in insurance, healthcare, logistics, legal, and property: AI that touches money, records, or customer data, where a wrong answer costs more than a slow one. If that's your situation, the industry matters less than the risk.
How engagements run
1. Discovery
A free 15-minute call to understand what you're trying to ship, what's in your way, and whether I'm the right person for it. No pitch — if it's not a fit, I'll say so and point you somewhere better.
2. Scope & shape
If there's a fit, I scope the work in writing: the problem, the approach, the deliverables, and the price. You see the architecture before you see an invoice.
3. Build & ship
I work as one of your engineers — in your repos, your standups, your decision threads — until the thing is live, instrumented, and your team owns it.
Ready to scope your engagement?
Two ways to start. Pick whichever matches where you are.