Why a standalone chatbot isn't enough
A language model that knows nothing about your organisation gives answers that are the same for every company. Value appears when the AI can see your own data: which order is open, what is in stock, what was agreed with this customer last year.
That data sits in systems that are often ten or fifteen years old. They have no API, or an API that was never meant for this volume. They contain fields nobody remembers the meaning of. And they are too important to use as a testing ground.
The old system stays yours
We do not touch your core system. Instead we add a layer beside it that exposes the data: an API layer, an event stream, or an MCP server an AI agent can talk to directly. That layer is ours, with tests and monitoring. If it falls over, your ERP does not.
Shadow mode first
New AI never goes live in one step here. First it runs in shadow mode: the system does its work, but nobody sees the outcome except us. Then human-in-the-loop, where an employee confirms every action. Only when the numbers hold up over a longer period does the switch go to autonomous, and even then with an emergency stop.
That takes longer than going live immediately. It is also the reason our systems are still running.