AI support desk for manufacturers and industrial SMEs
A manufacturer’s clients always ask the same questions: where is my order, what lead time for this part, resend the material certificate. The agent answers on its own by reading your MRP, and hands pre-qualified quality claims to the right team.
In your day-to-day
- 01
Answers on order progress with the real availability date from your production schedule.
- 02
Sending material certificates, certificates of conformity and datasheets on request, at the right revision index.
- 03
Quality claim pre-qualified — part number, batch number, quantities, photos — handed to the quality team to open the non-conformity.
A typical scenario
A maker of catalogue and made-to-order mechanical components runs sales admin with two people — who spend half their days saying “your order is at deburring” and hunting for certificates.
- 01
At 7:04 AM a German buyer asks for the status of three order lines: the agent answers before the office opens, with availability dates read straight from the production schedule.
- 02
Asked for a material certificate, it checks the revision index of the drawing attached to the order before sending — the right document, at the right revision, first time.
- 03
One line is running late: rather than improvise a date, it opens a case for sales admin with the offending supplier confirmation already identified.
What changes
Sales admin processes orders instead of answering the phone, and export clients get their answer within their own morning — not yours.
Order of magnitude
Working assumptions
- →around 25 client requests reach sales admin per day
- →6 minutes of average handling per request
- →70% are purely factual: status, document, standard lead time
Close to 9 hours a week absorbed by the agent (25 × 6 min × 70% × 5 days) — about one full sales-admin day handed back to actual order management every week.
Indicative estimate built on average sector assumptions — it gets recalibrated on your actual volumes during scoping.
What eats your days
- →
Supply shortages are discovered when the work order is released — and scheduling gets redone by hand in a rush.
- →
The sales-admin inbox mixes PDF orders, supplier confirmations, delivery-date requests and quality claims — everything is retyped, nothing is prioritised.
- →
Key accounts demand EDI, supplier portals and service-rate indicators — and it is your team copying data from one system to another.
How it works
- 1
The agent learns your business
It is fed your real sources: FAQ, documentation, ticket history, business rules. It only answers what it can source — no improvising.
- 2
Autonomous resolution, fenced
Recurring requests — tracking, invoices, procedures — are resolved end to end. Anything outside the fence goes to the human queue with a sourced draft reply already written.
- 3
Supervision and continuous improvement
Every conversation is reviewed by our engineers in the first weeks. The autonomous-resolution rate rises as the agent earns reliability — never the other way round.
Typical results
60%
of tickets resolved with no human involved, observed in production
3 min
first response, 24/7
×3
handling capacity for the same team
Orders of magnitude observed in production; your diagnostic sets your own baseline and targets.
Frequently asked questions
Can the agent quote a delivery date to a client?+
It only communicates the date validated in your schedule — never an estimate it would invent. If the date is unreliable or the order is late, it hands over to sales admin instead of promising.
Does the agent need to plug into our MRP? It is getting old.+
The agent reads your MRP or ERP read-only, however old it is — and where direct access is impossible, it works from existing exports. No migration is needed to start.
Is this the problem eating your team’s time?
Tell us how you work today — 30-minute call, then a free written diagnostic of what this agent would change for you, with numbers.
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Sales, admin, support, operations: the 20 tasks AI agents already handle in SMEs — with, for each one, the tell-tale sign that your team is concerned.