Most companies already have the information they need to make good decisions, but it is scattered across spreadsheets, ERPs, CRMs and shared folders that no one checks together. The result: simple questions that take days to answer because the data has to be requested from three different people.
An internal AI assistant connects those scattered sources and lets you ask in natural language — "how much did we bill last month in the north region?" — and get back the real figure, not an approximation. The difference versus copying data into a spreadsheet is that the answer can be verified and is always up to date.
An assistant trained on public information from the internet does not know your business or your data. An internal assistant works exclusively on your sources, without sharing that information with third parties, and with traceability of where each answer comes from — essential when the decision made with that information has real financial impact.
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