In plain English
An internal AI assistant is a custom chat interface that connects to your live business systems and answers questions in plain English. The difference from ChatGPT: it knows your business (your jobs, customers, stock, drawings, contracts) because it queries your actual data when asked.
Under the hood, internal AI assistants use a technique called RAG (retrieval-augmented generation): when a user asks a question, the system retrieves relevant data from your systems and gives it to the LLM, which answers based on the retrieved data. The model isn't memorising your business; it's looking up the answer each time.
For SMEs, the practical value of internal AI assistants is bridging the gap between office systems and shop-floor reality. The MES sits on a desk that's nowhere near the bay. The CRM is on a screen across the building. People walk over and ask because looking it up is too slow. An assistant on a tablet at each work station collapses all of that, voice question, instant answer, no walking.
Production deployments typically include: read access to multiple systems (MES, CRM, accounts, document store), write access to specific safe actions (start a task, log a defect, move a job stage), role-based permissions (operators see job status; managers see margin), audit logs on every interaction, and a voice-first interface for noisy environments.
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