Most enterprises already hold the answers they need — somewhere. They sit across an order system, a SharePoint, a handful of Power BI models, an inbox, and the people who've been there longest. Pulling those answers together usually means a request, a meeting, a workbook, and a delay.
Project Integral Mesh was built to remove that distance — without lifting the data off the estate. It runs on-premise, behind the firewall, with SSO via Kerberos. The data never leaves.
The platform plugs into the systems a business already runs on — applications, files, inbox, even screen captures — and builds a semantic model of how the business actually works. Where Power BI models exist, it imports their schema and the meaning behind them, so the team's existing definitions are honoured rather than rewritten.
From there it earns its keep four ways. Recordings become walkthroughs and skills — show the platform how a job is done and it learns to do the mechanical part. Natural-language queries reach across data and documents and come back with the evidence attached. The patterns a team uses every day surface as repeatable tools, so today's request becomes tomorrow's button. Dashboards land where they need to — including TV screens in kiosk mode for floors that need the numbers visible without a login.
Project Integral Mesh replaces the long tail of one-off requests, ad-hoc spreadsheets, and tribal knowledge with a platform that learns and gives that learning back. Answers arrive in seconds rather than meetings. Institutional memory survives the people who hold it. And because everything stays on the estate, it works in environments where most AI platforms can't.
A short brief is enough to start. We read every enquiry ourselves and reply within two working days.