Artificial Intelligence
A named senior engineer ships one AI feature on a path your users already take. Written scope before anyone touches the repository. An evaluation your product owner will sign. A flag on-call can flip.
The product stays. The database stays. The release process stays. We put a model on a request users already make: which data it may read, what better means, who reviews a change, and how it turns off. That is a different job from a greenfield demo, and a different job from rewriting the product so it can do AI. If you are staffing someone onto the team that already ships, what an AI engineer owns in week one is the map. This engagement delivers that slice. If the idea has not survived a real constraint yet, start with an AI proof of concept. If you need a senior engineer inside your standup instead of a defined slice, that is Maxiom Dev. App products also live at Maxiom Apps. Clinical systems and PHI belong with Maxiom Labs. We have been shipping software since 2002.
What we hand back
One feature, written scope
Named data access
An evaluation the owner signs
A flag and the old path
Why teams call Maxiom
A notebook can look finished by Friday and still have no owner for data, no definition of better, and no way to turn it off when a customer sees a bad answer.
The product already has users, an API, and an on-call rotation. Replacing it so a model has somewhere to sit is how a quarter disappears.
The first change users can hit has to be reversible by someone who is not the person who wrote the prompt. A deploy that is the rollout is not a rollout.
Kickoff
We look at the request users already make, the data it touches, and whether this feature is the right first one.
You get: a clear yes or no on fit
You get a written slice: the integration, the evaluation, and the flag. Not a rewrite of the product.
You get: a committed written scope
The named engineer builds the feature against the path you already ship, with checkpoints you can inspect.
You get: progress you can inspect
Working software on your product, a walkthrough, and a person who can turn it off.
You get: a feature you can ship or shut off
Scoping
Tell us your stack, timeline, and constraints. We will tell you honestly whether Maxiom is the right fit, and what a scoped engagement would look like.
Prefer calendar? Book a scoping call · hello@maxiomtech.com
Share a few details and we will follow up within one business day.
The first conversation is scoping. Stack, constraints, and whether we are the right fit.
A model sits on a request users already make. The product, the database, and the release process stay. You get a written scope for one feature: data access, evaluation, review, and a way to turn it off. It is not a new product, and it is not a slide.
No. A rewrite is a different project. The first feature should use the API, the data classification, and the on-call path you already have. If those do not exist, say so in scoping. We will not open a greenfield track to hide that gap.
A proof of concept is allowed to die after it answers one question. This engagement assumes the product stays up. If you still do not know whether the idea can work, start with an AI proof of concept and come back when that question is answered.
The same map we wrote for an engineer joining a live team: the request, the data, what better means, who reviews a change, and who can turn it off. Read what an AI engineer owns in week one. This engagement delivers that slice. It does not replace the map.
A product or engineering lead who already has users and wants one AI feature in production. Typical stacks include a web app, an API, and a release process. If you need a person inside your standup instead of a defined slice, use Maxiom Dev. If the product is a mobile app, Maxiom Apps is the app practice.
Say so on the first call. No production export to a laptop, and no paste into a tool that is not approved for that data. Clinical systems and BAA-capable architecture go through Maxiom Labs.
Not in the first scope. We name the constraints: latency on the existing request, where data may go, and what must stay in your environment. A fluent demo is not a selection process. Copilot, Cursor, and Claude Code can help write the integration. They do not own the evaluation or the off switch.
The feature on your product, behind a flag, with the old path still working. A written evaluation. A walkthrough with a named engineer. Client code stays in your environment. We have shipped software since 2002.
A 30-minute scoping call. Bring the request you want the model to touch and the name of the person who owns it today. We will tell you if the right next step is this feature, a proof of concept, or someone else. You can contact us or use the form on this page.
Artificial Intelligence
Artificial Intelligence
Artificial Intelligence
Artificial Intelligence
Software Engineering
Artificial Intelligence
Scoping
Response within 1 business day
