Connected systems & reporting
Connect the systems you already use, clean up agreed data, and create useful operational views of customers, jobs, orders, and exceptions.

01
Incoming POs are read, the customer and part numbers are matched against the ERP, and draft sales orders are created. POs that don't match cleanly go to a person to check.
The problem: Purchase orders arrive as email attachments and PDFs. A customer service rep reads each one and keys it into the ERP line by line.
02
Ship confirmations update the ERP order with quantities and tracking, and the invoice is created from what actually shipped.
The problem: When an order ships, tracking numbers and quantities are copied from the WMS or carrier site into the ERP before the invoice can go out.
03
Approved POs are sent to the vendor automatically, confirmations and promised dates are recorded against the PO, and missing confirmations are flagged.
The problem: An approved PO is emailed to the vendor by hand, and the confirmation is tracked in a spreadsheet.
04
Items that fall below their reorder point create a purchase requisition for approval, with the usual vendor and quantity filled in.
The problem: Nobody notices an item is below its reorder point until an order can't be filled.
A practical approach
The right starting point depends on your people, information, and business goals. We agree the scope together.
Systems around the workflow
Get orders, shipments and invoices into and out of your ERP without retyping them. We identify the source of truth, permitted access, field mapping, and a safe way to handle failed or repeated requests.
Use the ERP's approved customer, item, unit, price, and order records. Define supported entry points and how an incoming request matches those records.
Route unknown items, inconsistent quantities, and price or delivery exceptions to the responsible team before creating or releasing an order.
Reconcile sample orders line by line. Test duplicate purchase orders, partial shipments, unmatched references, and failed imports with an agreed recovery path.
Keep a traceable record of what was requested, what completed, and what needs review. Agree retry limits, duplicate protection, staff fallback, and the owner who resolves a failed update before launch.
Everyday business, practical AI
These are proposed implementations we can scope around your business. Explore the steps, the staff decisions, and a sensible first pilot.
Manufacturing & distribution
Convert customer purchase orders into structured drafts. Match customers, parts, quantities, and agreed pricing against the ERP rather than letting AI invent missing product or commercial details.
Require review of price discrepancies, unknown items, and delivery commitments. Prevent duplicate order creation when messages are retried.
Customer order intake, document processing, ERP master data, and sales-order review queue.
Start with a few repeat customers and known part formats; reconcile every draft against the original before increasing volume.
Review order-entry time, first-pass match rate, corrections, and time spent resolving exceptions.
Implementation, end to end
01
Walk through a real request with the people doing the job. Identify the source records, decisions, bottlenecks, and exceptions before choosing software.
02
Define a limited starting scope and create a working version. Test representative requests alongside difficult cases, missing data, and failed connections.
03
Agree access, approval steps, acceptance checks, and a release plan. Show staff how to use the system, review exceptions, and contact the responsible owner.
04
Provide the agreed documentation and handoff. Review usage, operating costs, and issues; define support coverage and future changes in the engagement.
Connect the systems you already use, clean up agreed data, and create useful operational views of customers, jobs, orders, and exceptions.
Turn incoming forms, invoices, orders, and documents into organized records and review queues. Keep a link to the original information so staff can check the result.
Before we begin
Bring the business problem. We can help translate it into a practical technical plan.
We review the systems you use, available APIs or supported imports, subscription requirements, and access permissions. The scope identifies which connections can be implemented and which need an alternative.
A process owner, examples of the current work, and access to the systems included in the scope. Your staff help confirm the business rules, review a pilot, and decide whether the result is ready to use.
The proposal defines deliverables, assumptions, responsibilities, acceptance checks, and pricing. Third-party subscriptions and usage costs are identified separately. We choose meaningful measures from your existing process rather than promise an untested result.
The agreement defines code and account ownership, documentation, training, deployment responsibilities, and any ongoing support. Staff get a clear way to handle failures and requests for changes.
A short conversation can help you decide where AI and better systems would make a useful difference.