Your systems don’t talk to each other. Make them queryable.

THE REAL PROBLEM It isn’t a lack of data. It’s data locked in silos.

The work order lives in the CMMS. The production order for the same machine lives in the ERP — usually under a different reference. The alarm flashed on the SCADA. The procedure that resolves it sits in a PDF on SharePoint, in German, scanned in 2014. Every system holds part of the answer; none holds the whole one.

So the work that should take minutes takes an hour and fifty-two minutes. Not because the information is missing — because no one, and no single AI agent, can reach across the systems that hold it.

WHY THE USUAL APPROACH STALLS Point-to-point integration never finishes.

The instinct is to wire system A to system B. Then C asks for B. Then a new question needs A and D. Connectors multiply, each one brittle, each release a regression risk — and every new question still ends as a custom report someone builds by hand.

• N×N connectorsevery pair you wire is one more thing to maintain when either side changes.
• ETL rebuildscopying data into a warehouse means it is stale the moment a shift logs a new event.
• A report per questionthe integration is never “done” — leadership asks something new, and you build another extract.
• Rip-and-replaceplatforms that promise unification usually want you to migrate into their format and their vocabulary.

THE MODEL A queryable layer, not another integration.

AutomAssist puts one dedicated AI agent on each data source and reads it as it is — no migration, no normalisation, read-only. The agents are wired into a Knowledge Graph that lets a question travel across systems. You keep every tool your teams already use; you add the ability to ask them anything, in natural language, in 15+ languages.

• DocumentsSharePoint, Drive, OneDrive, NAS, CMMS attachments — text, OCR, electrical and pneumatic schematics, with line-level citations.
• CMMS / GMAOwork orders flow both ways. Odoo, SAP PM, Maximo, Carl, Coswin and more, through the connector or the API.
• ERPa secure read-only connector indexes what matters — query fabrication orders in plain language, no SAP expertise required.
• SCADA / PLCOPC-UA, MQTT, native SDKs. The cryptic error code becomes the exact passage of the manual that resolves it.
• MESlots, batches and quality events indexed for cross-system traceability and root cause.
• Production analyticshistorians (PI, Wonderware, InfluxDB, Timescale) queried in natural language instead of 47 static dashboards.

WHAT THE GRAPH ADDS The Knowledge Graph sees what isolated tables cannot.

A flat table answers “what is the value of X.” A graph answers “why.” A bad lot in the MES can be linked to a parameter drift on the machine and to a procedure change in the documents — across three systems, in one answer. The graph is not a static integration; the relationships compose themselves as you connect more sources.

Connected data reveals what isolated systems cannot.

The AutomAssist Knowledge Graph

HOW IT STAYS SAFE Connect-first, read-only, zero migration.

• Read-only by defaultagents read your sources; nothing is moved or rewritten without an explicit, audited action.
• Your data stays where you decideSaaS, your own Azure tenant, or fully air-gapped on-premise with a local model.
• Standard connectorsOPC-UA and MQTT for live streams, secure read-only links for ERP/CMMS, an open API for the rest.
• Operational in daysconnect a source, sync, start asking — no model training, no data labelling, no rip-and-replace.

IN CONTEXT How this differs from the alternatives.