AI for business software

It can, which is why ours are built to read from your systems through tools rather than answer from memory, and to say when they do not know. We also run every change against an evaluation set built from your own real cases before it ships. It is not infallible; it is measured, and the measurement is what makes it safe to use.

Usually far less than people fear, and far more variable than they expect. A well-scoped assistant costs cents per conversation; an unscoped one can cost dollars. Every model call we ship is logged and priced by feature, so you see the running cost per use from day one rather than discovering it on an invoice.

Almost never. For nearly every business use, a strong off-the-shelf model with the right context and tools outperforms a fine-tuned one, and it costs a fraction and stays current. We reach for fine-tuning only when there is a measured gap that context cannot close.

To the model provider you choose, for the duration of the request, under their enterprise terms — and nowhere else. We do not train on it, retain it beyond what the feature needs, or route it through third-party middleware. Self-hosted models are an option where the data cannot leave your infrastructure.

Shipped and running. Lotline, our automotive CRM, scores deal health and drafts next actions from real conversations. Cortex, the command center MannCave.Dev runs on, has a read-only assistant over its own data with every call priced to the token on its own page. Both are on the work page with screenshots.

Yes, provided it has an API or a database we can read. The assistant sits alongside the existing system rather than inside it, which is often the better architecture anyway — it can be replaced, metered and switched off independently.