Project Delivery
One production AI system, shipped.
Bring a defined workflow, a stalled prototype, or a business outcome. I run the delivery end to end and hand back a system that works in production.
Book a callWhat this is
One production AI system, scoped, built, shipped, and handed to you. Fixed scope, so you know what you are buying before you buy it. From about $2,500 per month. Most engagements run at least two months, though a tightly bounded build may be shorter.
It covers two common starting points. Scope determines the price. What makes both Project Delivery is the finish line: one system working in production.
You have something that stopped short.
A prototype that runs on someone's laptop, breaks on real data, or has not moved in weeks. I take it the rest of the way.
You are starting clean.
You have a workflow, business outcome, or system gap and need the production system designed and built from scratch.
If you cannot yet name the workflow, the Money Leak Audit ranks where manual work is costing you the most, so the first build is the one worth doing. Nothing to trade for it.
Run the Money Leak Audit →The shape of this engagement
Scope. A build with defined edges and timelines. One system or feature, one workflow, one definition of done we agree before I start.
Delivery. I run the full delivery myself: build, test, rollout, and monitoring. Your team does not have to staff it.
Complete when. It is running in production, documented, and handed over.
Not this if the scope will keep moving after launch, or the work spans several teams. That is Managed Delivery.
Before and after a rescue
For a stalled prototype, the engagement is concrete.
Before
A demo that works on happy path data, has no error handling, is not integrated with anything you run, is deployed nowhere, and is understood by one person who has moved on.
After
A system running where your work happens, connected to your real data, handling the failure cases, monitored, documented, and handed off to your team with enough written down that they can keep it alive without me.
The work the demo leaves out
Shipping is not the last ten percent. It is a distinct body of work: real data instead of sample data, the failure modes the demo never hit, integration with systems that were not designed to cooperate, deployment, monitoring, and a handoff someone can read six months later.
That work is unglamorous, it is most of the effort, and skipping it is why the prototype is still sitting there. It is not a sign anyone did a bad job. It is a different job.
What a dead POC costs while it sits
A dead POC isn't free: it's a spent budget, a lost quarter, and the number it was supposed to move still sitting flat.
What you get
The working system, deployed where your work happens. The integrations it needs to be useful. Documentation written for the person who inherits it. A short handoff so your team can run it. It is yours to keep and yours to change.
Who is doing the work
Me. You work with a senior engineering leader who has run delivery at scale and still designs and builds production AI systems. I own the work from scope through handoff.
If a new need appears after handoff, we decide whether it is another project, an owned initiative, or work your team should carry without me.
Start with one system
If it does not fit one clear system, this is the wrong engagement and I will tell you that on the first call.
Book a callThe call is free. Bring the problem and leave with a straight answer.
Not ready to talk? Send the prototype or repo for a free 15 minute read. I will tell you straight what it will take to ship.