Nothing reaches the client until it has been checked against a written definition of good for that specific piece of work. A delivery with no evidence it meets the bar is a fail, not a maybe.
Every delivery does the scoped outcome verifiably, not close to it. Every claim is tested or cited, nothing fabricated. The result is self-serve, meaning the client can use it without us in the room.
For code and builds specifically: tests pass plus a smoke test run by hand; security checked with no exposed keys and row-level security on where the datastore supports it; the work matches the spec, deploys, and logs what it does.
Agents write most of the code. They cannot decide whether the work is right, whether the client is satisfied, or whether we deserve to be paid. That judgment sits with the engineer, and it is the part we hire for.
This is the differentiator, and it is specific enough to check:
An AI team is a set of functions that operate your business. This is not a development project with an end date, but a department that runs. You do not buy a tool or a license. You buy the outcome of a role: leads qualified, invoices chased, document data extracted.
We offer two ways to run these roles. The managed lane is for businesses that want the outcome without the overhead. We build, host, and operate the infrastructure on our own stack. You never touch a model or a server. The embedded lane is for companies with existing engineering teams. We embed an AI engineer from our bench into your team, repository, and review process to build these functions inside your own stack.
Both lanes use the same methodology. Every role starts with a written spec and two human gates. Nothing is automated until it has been proven to work by hand. Once live, the role is monitored around the clock by automated watchdogs, with human cover during business hours to handle what the models cannot.
Each role below is a business function that runs, not a project that ships. Roles are added one at a time, and most clients need two or three rather than all five.
Under all five roles sits the infrastructure: CRM, data model, connectors, auth, hosting, monitoring and alerting. Maxpertise sets it up and operates it on its own cloud, isolated per client, and holds the keys. The client owns the code and the data and keeps a clean exit with no lock-in.
Published so an accurate answer can be given rather than an optimistic one:
Maxpertise is an AI-native engineering company. We embed native AI engineers inside your team, live in about 10 days. Please enable JavaScript to view the site, or email contact@maxpertise.net.