The question customer service repeats forty times a day, answered instantly from YOUR approved information, identically every time — while your team stays on the exceptions.

The AI quotes from your actual catalog with payable links. A buyer calling at 7 PM gets a number and a link, not a voicemail — and your pricing rules are respected to the line item.

Web-form RFQs and inbound emails answered in minutes: quantities, specs and target dates collected, drawings requested, the qualified package routed to your estimator with a transcript.

The Friday scrap-and-downtime report, the monthly PM compliance summary, the shift-handover digest — assigned to the AI like to a production coordinator, executed on schedule, fully auditable.

A floor operator asks the torque spec from a tablet and gets the current work instruction — revision number and page cited — in seconds, not a walk to the office and back.

Every AI-drafted NCR, corrective-action draft and report lands in Output awaiting review. Nothing enters the quality record without your quality engineer’s decision.

PDFs, drawings, scanned prints, photos of the nameplate, supplier certs that arrived by fax — the ingestion pipeline turns what the plant receives into queryable knowledge.

No source in your library, no claim: the AI cites the work instruction, the drawing, the cert — or says it cannot answer. On the floor, a guessed spec is scrap.

The temp on line 2 gets the work instruction; the process engineer gets the process sheet with costing. Each answer is scoped to the role, enforced server-side.

Downtime report, NCR draft, PM summary, supplier quality letter: work types molded to your operation, with default libraries and example documents per type.

The AI’s workload is managed like the team’s: one-click views show what is urgent, late, today and tomorrow — the month-end quality summary never slips silently.

Reasoning streamed as it works, sources cited, milestones tracked, linked to the machine, the lot and the calendar — supervision like a diligent new hire, on the record.

Lockout/tagout, changeover checklists, forklift pre-shift inspections, SDS sheets, emergency procedures: one library, current revisions on top, superseded drafts outranked.

“What is the lockout sequence for press 12?” — answered in seconds with the procedure attached, on first shift or at 2 AM, to any authorized operator or tech.

Work types carry their default procedures: the AI drafting a PM summary reads from the current PM procedure — by construction, not by memory.

New operators learn your machines, quality rules and safety procedures through guided training on the plant’s own documents — productive in days, not a quarter.

“How do I set up the brake press for the 4471 bracket?” — asked to the assistant, answered from the setup sheet, without pulling the lead off his own line.

Private chats work on any device with a login — the how-to knowledge follows the operator to the line, the maintenance shop or the night shift.

A customer complaint email arrives: the lot’s production records are pulled, the NCR draft and the customer response are written, and both land in the quality manager’s queue.

Shift logs compiled into the morning report before the production meeting: output by line, downtime with causes, scrap flagged — filed to Output, on time every day.

A receipt lands without its material cert: the supplier request drafts itself, sends on approval, and chases until the cert is filed against the lot.

Accounts quiet for 18 months, buyers of a discontinued part, customers affected by a lead-time change: audiences built from your own categories and order history — no list exports to a third-party tool.

A lead-time slip becomes a notice the buyer reads Tuesday morning instead of an angry call Thursday afternoon. The AI drafts it; your sales manager approves it.

Communication preferences are enforced by the system, not by memory. Every send is on the record, every unsubscribe honored.

Customers, orders and documents mapped field by field, with a dry-run preview before anything writes — push, pull or two-way, your choice per field.

Production data exports, machine logs and quality records flow through the intake pipeline into the libraries — the AI reads what your systems already produce.

A full API for whatever else the plant runs: label printers, quality stations, custom tools — data in, results out, under scoped keys.

The server redacts what a role cannot see — a temp on the line gets the work instruction, never the costing sheet; a supplier portal contact sees their POs, nothing else.

A searchable log of every audited action: who opened the tooling drawing, who changed the SOP, when — the evidence your customer audits ask for, ready in minutes.

Five-level workgroups map plants and departments; the on-premises option puts the whole system inside your building, air-gap capable, USB updates.

Ask the chat: “what is the lead time on a custom bracket run of 500?” — watch it qualify the request like your best inside-sales rep on a good day.

Ask: “how would you draft an NCR from a customer complaint?” — it walks the workflow it would run in your tenant, grounded, cited, sign-off included.

The full demo loads a manufacturing tenant with sample records: downtime reports, SOP answers, quote flow — your plant’s world, working.