AI assistants

Nexyron connects to the assistants people already use. Once connected, the assistant works against your business model directly: it can recall what it has learned, take in files, compute exact results, and reuse analyses you have saved.

This is not a chat window bolted onto a database. The assistant gains capabilities a general one does not have.

What the assistant gains

Memory of your business. Facts, decisions and context persist between conversations and accumulate. You stop re-explaining your own business at the start of every session.

Whole files, not pasted text. Spreadsheets, exports, mailboxes and documents are taken in and become part of the model, rather than being summarised into a prompt and half-forgotten.

Exact computation. Aggregates, cohorts, forecasts and network analysis run in the engine. The assistant reports numbers rather than estimating them, which is the difference between analysis and plausible-sounding arithmetic.

Reuse of saved work. Existing reports and Lenses are available to it, so a question you have already answered well is not answered again from scratch, differently.

Work that outlives the conversation. Long analyses run in the background and come back finished, instead of timing out mid-answer.

A record of decisions. What was decided and what followed is written down, so next quarter "did that work" has an answer.

Three things are always asked of you, in the assistant you are already talking to, rather than assumed: which business to open, any change to your data, and taking in new knowledge. Declining ends the request and changes nothing.

Setting it up

Nexyron speaks the Model Context Protocol, which Claude, Codex and ChatGPT desktop all support, and exposes an agent interface for other systems that delegate work to services.

Connect the assistant to your running Nexyron, then ask it something about your business. There is no separate integration to build.

A note on trust

The assistant reads from the model and computes against it; it does not invent figures and present them as measurements. When a question cannot be answered from the data, the honest answer is the one you get. That is the same principle the rest of the product is built on, and it is what makes the results usable in a decision.