AI that does work, under controls, on hardware you or we control. We run it in production before we recommend it, and we ship the software to prove it.
Before any of this is offered to a client, it runs our own business.
Our Microsoft 365 administration runs through an AI-assisted layer that plans every change, checks it against live state, refuses anything that would touch a privileged account or escalate a permission, executes, and reads the result back. Refusals are recorded. Rollback is built from a snapshot taken before the write. It has refused unsafe actions during live rollouts and was not overridden.
Every ticket into our service desk receives an AI analysis on arrival. Spam is closed automatically. Duplicate and superseding alerts are reconciled on every sweep. Autonomy is raised one level at a time, with each level proven under real load before the next.
AI review agents on managed workstations audit configuration and report defects, including our own. The first audit found problems in scripts we had shipped. That is the point.
Our models run on our own GPU hardware. No third-party provider in the loop, no per-query cost, and client data never leaves the environment unless you choose otherwise. Cloud GPUs are used for training runs only, and released when idle.
Public, reviewed, and in use by people who are not our clients.
A WordPress plugin on the official plugin directory that lets ChatGPT, Claude or Gemini manage a site through the Model Context Protocol, with an activity log, safe mode and OAuth. Three independent security audit rounds.
An iOS app on the App Store with a fine-tuned model that runs entirely on the device. No account, no network, no data leaves the phone. The model is published openly.
An npm package that gives AI coding tools persistent context about a codebase. Open source, security-audited.
We do not start from a model. We start from the work: what is repeated, what is slow, what must never happen. The controls are designed first, then the automation is built to run inside them, then autonomy is raised one level at a time as each level proves itself. A system that can refuse is worth more than a system that can do anything.
Describe the work your team does the same way every week. We will tell you what can be automated safely, what should stay with a person, and what it would take.