AI workflow automation for manufacturing

We build and run AI workflows for manufacturing businesses, connecting purchase orders, invoices, export documents and production reports across the systems your team already uses.

The backlog

Start with the work people repeat by hand

A first diagnostic in a contract manufacturing business produced this backlog in two weeks. Twelve candidates, grouped by the desk that carries them.

Finance and compliance

  • Purchase to pay matching
  • Payables and receivables follow up
  • The compliance calendar

Planning and commercial

  • Customer purchase order to sales order
  • Request for quotation to quotation
  • Inventory replenishment triggers

Dispatch

  • Export documentation packs
  • Production against shipment plan

Operational follow up

  • Shift production and downtime capture
  • Inline quality checks with photo evidence
  • Complaint to corrective action
  • Tool and die shot count maintenance

These are candidates that a diagnostic ranked for a decision. They are not twelve delivered projects and we do not present them as outcomes. We would expect at least three of them to be wrong once the work is looked at closely, which is why the ranking is revised as the first agent is built.

Finance

Purchase orders, invoices and matching

The most repeated workflow in most factories, and the one where the exception costs more than the rule.

  • The source documents

    The purchase order in your ERP, the goods receipt raised at the gate, the supplier invoice that arrives as a document in a shared mailbox, and the amendment that exists only in a mail thread because somebody agreed it on the phone.

  • The matching rules are yours

    Quantity received against quantity billed, rate against the agreed rate, tax treatment, freight and packing terms, and the tolerance you already apply. We write your tolerances down rather than choosing sensible ones for you.

  • A missing field stops the run

    If a purchase order reference is absent, or a rate cannot be found, the agent stops and asks. It never substitutes a different source to keep going, because a match built on a substituted field is not a match, it is a guess with a tick against it.

  • Exceptions go to a named person

    A short queue, not an inbox: what the difference is, which rule it failed, and the person who can accept or reject it. Clean matches are prepared for posting and released under the same approval your team uses today.

Dispatch

Export documents and dispatch readiness

The pack is assembled by an agent and released by a person. Here is a pack with one line that does not agree.

Scroll sideways to read the table.

Demonstration data. Not a client system.
documentchecked againststate
commercial invoicesales order, agreed rate, tax treatmentlogged
packing listcarton count and gross weight from packinglogged
certificate of originvalidity for the destination on the ship datelogged
insurance declarationdeclared value against the commercial invoiceescalated
buyer instruction sheetthe mail thread against the current orderawaiting approval
declared value differs from the invoice, pack held for the export desk

The agent assembles the pack, checks every document against the source it should agree with, and names what does not. It does not decide that a mismatch is acceptable and it does not correct the number quietly. The export desk releases the pack, and the release is recorded against their name.

Production

Production reporting and inventory triggers

Reading the shop floor, comparing it with the plan, and telling the person who needs to know. Nothing more than that.

  • Shift production and downtime capture

    The entries your supervisors already make, on paper or in a sheet, read at the end of each shift and turned into the same report somebody currently types up the next morning. The exception is the interesting part: a downtime reason that does not match the code list goes back to the supervisor rather than into an average.

  • Production against the shipment plan

    Planned quantity against actual, by line and by order, with the gap raised while it is still recoverable rather than in the review after the shipment was missed.

  • Inventory replenishment triggers

    Consumption against reorder levels and lead times, producing a requisition for a person to approve. The requisition is prepared. The purchase decision stays with your buyer.

We do not control machines. No agent we build writes to a machine controller, changes a set point, or starts or stops equipment. It reads what was recorded, compares it with what was planned, and escalates to a person. Everything on the shop floor stays under exactly the control it is under today.

Evidence

Rules, approvals and evidence

Every action leaves a record that answers what was read, which rule was applied, what came out and who signed.

Scroll sideways to read the table.

The record left by one supplier invoice match
fieldentry
Inputsone supplier invoice, one purchase order, one goods receipt
Rule appliedquantity and rate match inside the agreed tolerance, freight billed separately is named
Outcomeentry prepared for posting, freight line held as a named difference
Approveraccounts payable lead, released 15:22
Retainedthe documents read, the rule version, the release

Demonstration data. Not a client system.

Diagnostic

What the manufacturing diagnostic produces

Two weeks beside the people doing the work, and a backlog ranked on four things rather than on enthusiasm.

  • Repeated hours

    How much of the week the workflow actually consumes, counted with the people who spend it. A painful workflow that runs twice a quarter loses to a dull one that runs every morning.

  • Exception frequency

    What proportion of runs are not the standard case, and how expensive those are to resolve. A workflow that is ninety per cent exceptions is a workflow we would tell you not to automate yet.

  • Integration readiness

    Whether the systems involved can be reached at all, what your administrator can authorise, and whether the documents arrive in a form that can be read reliably. This is where an optimistic plan usually meets its first wall.

  • Approval requirements

    Which actions are irreversible, who signs them today, and whether that person can be named and available. If nobody can be named, the workflow is not ready, whatever the hours say.