Services
AI implementation services
AI implementation services are where a validated idea becomes a system that runs. Most firms sell you a bench of juniors for that stage. We’re built the other way: the senior people who scope your work do the engineering, and you own what we build.
Implementation, not integration
These two words get used as if they’re the same, and they aren’t. Implementation is building a new AI capability and shipping it into production: the model, the data pipeline, the evaluations, the deployment. AI integration is connecting AI to the systems you already operate, so it reads and writes to your CRM, ERP, and document stores safely. Most projects need some of both. We name which one your problem is in the assessment, so you’re not paying for the wrong shape of work.
How an engagement works
Everything starts with the assessment: fixed scope, 3–6 weeks, priced at $20,000 to $80,000 (where in that range depends on scope: how many systems and teams we assess, company size, and regulatory exposure). At the end you get a concrete build plan with costs and a sequence attached. The build that follows is fixed scope too. For context, published 2026 ranges put a typical scoped production build at $50,000–$250,000. And that band is a single scoped build; multi-system, multi-year programs run seven figures and beyond, and scale like that is work we take.
What you get out of it
- A working system in production on your own infrastructure, not a slide deck or a prototype that never ships.
- Evaluations that tell you, and your auditors, that it does what it’s supposed to.
- Documentation and a handover so your team runs it without us on retainer.
- A fixed cost you agreed to before the build started.
Where this connects
If the capability needs to act on its own across steps, that’s AI agent consulting. Running any build safely is AI governance consulting and an AI risk assessment. The full menu is on the services page.
Who you’d be working with
Nick Major, an engineer of fifteen-plus years who ships AI systems in production, and Isaac Major, an operator who has run growth and revenue teams inside global enterprises. They work from Lisbon and Salt Lake City. Full backgrounds are on the about page. We’re a young firm, so there are no case studies or client logos here yet; what we show instead is published pricing, a fixed-scope process, and the senior people who do the work.
Questions people ask
- What do AI implementation services include?
- The build itself: taking a use case that has already earned its place and shipping it into production. That means the data work, the model or system, the evaluations that tell you it works, the deployment on your infrastructure, and the documentation your team needs to run it after we leave.
- How is implementation different from integration?
- Implementation builds a new AI capability and ships it into production. AI integration wires AI into the systems you already run: your CRM, ERP, and document stores. Most real projects need both, and the assessment says which one your problem actually is before anyone writes code.
- How much do AI implementation services cost?
- Every engagement starts with a fixed-scope assessment at $20,000 to $80,000, delivered in 3–6 weeks. Published 2026 ranges put a typical scoped production build at $50,000–$250,000. The full picture is in our AI consulting rates guide.
- Do we own what you build?
- Yes. We build on your infrastructure and hand over the code, the models, and the documentation. We take no resale margin and no vendor commission, so nothing is locked to us. The point of the engagement is a system your own team can run without us.
- Do you work with small businesses?
- Mostly no. Our work fits companies from a few hundred to tens of thousands of employees, where the hard parts are legacy systems, regulation, and change. If you’re a ten-person company, a good freelancer is usually the better buy and costs less.
Tell us about the work.
A few lines is enough. We read every enquiry ourselves and reply within one business day.