Stop Typing — Let AI Read Your Documents
Invoices, purchase orders, delivery notes, technical specs, drawings — your team spends hours every week reading documents and typing data into systems. We build AI that reads them in seconds, extracts what matters, and puts it straight into your tools. No more data entry, no more errors.
The promise
Where it hurts
You don't need convincing. You need fixing.
Four signs you're ready for this conversation:
Someone on your team is typing data from documents all day
Invoices arrive by email, purchase orders come in as PDFs, specs get sent as attachments. Someone has to read them and type the data into your system. It's slow, it's boring, and it's full of mistakes.
You deal with stacks of paperwork that nobody has time to process
Delivery notes pile up, supplier invoices wait weeks to be logged, job specs sit in inboxes. The backlog grows because there aren't enough hours in the day.
Data entry errors are costing you money
A wrong digit on a PO, a missed line on an invoice, a spec misread. Small mistakes lead to wrong orders, payment disputes, and wasted materials.
You can't find information when you need it
Documents scattered across email, shared drives, and filing cabinets. When a customer rings about an order, finding the right paperwork takes longer than it should.
What you get
Not just a deliverable — a working system.
Document audit
We review your document types and data flows
Invoice and PO extraction
AI reads invoices and purchase orders and pulls out line items, totals, and dates
Technical spec reading
Extract materials, dimensions, tolerances, and requirements from specs and drawings
Delivery note processing
Capture goods-in data automatically
System integration
Extracted data flows straight into your accounting, ERP, or job management system
Validation and review
Confidence scoring and human-in-the-loop checks for edge cases
- Searchable document archive — Every processed document indexed and searchable
- Training and handover — Your team will understand the system and trust the output
- Ongoing support — We monitor accuracy and improve the system over time
Process
A shape you can plan around.
Audit.
We review your documents, data flows, and current pain points.
Build.
We train the AI on your document types and connect it to your systems.
Test.
We run real documents through the system with your team to verify accuracy.
Deploy.
Go live with monitoring, accuracy tracking, and ongoing refinement.
Pricing
Fixed fee, phased, or retained.
Document processing projects start from £3,000 for a focused pipeline handling one document type. Complex setups covering multiple document types with system integrations typically range from £5,000–£20,000.
From £3,000
Single document type
- One pipeline (e.g. invoices, quotes, drawings, packing lists)
- Trained on your real documents, not generic samples
- Outputs straight into your CRM, Sheets, MES or ERP
- Accuracy benchmarked before go-live
From £8,000
Multi-document setup
- 2–4 document types with separate pipelines
- System integrations included
- Manual review queue for edge cases
- 90-day refinement window after launch
If your project’s smaller than this, tell us — we’ll point you to a freelancer we trust. Better that than the wrong fit.
Questions
Things people ask us.
01 What types of documents can AI read?
Invoices, purchase orders, delivery notes, technical specifications, engineering drawings, material certs, quotations, and more. If it's a structured or semi-structured document, AI can extract data from it.
02 How accurate is the data extraction?
For standard documents like invoices and POs, accuracy is typically 95%+ out of the box. For more complex documents like technical drawings, we fine-tune the system to your specific formats. Every extraction includes a confidence score, and anything below threshold gets flagged for a human check.
03 Can it handle handwritten documents or poor scans?
Modern AI handles most scanned documents well. Handwriting recognition is improving but works best with printed or typed documents. We'll assess your specific documents during the audit and be honest about what will and won't work.
04 Where does the extracted data go?
Wherever you need it — Sage, Xero, your ERP, a spreadsheet, your job management system. We connect the extraction pipeline to your existing tools so data flows automatically.
05 Can it read technical drawings and engineering specs?
Yes. AI can extract data from technical drawings, CAD exports, material specifications, and engineering documents. This is especially valuable for manufacturing and fabrication businesses dealing with large volumes of specs.
06 How long does it take to set up?
A focused pipeline for one document type can be live in 2–3 weeks. More complex setups covering multiple document types typically take 4–8 weeks.
07 Is our data safe?
Yes. Documents are processed securely, data stays in the UK where possible, and we follow GDPR best practices. We never use your data to train third-party models.
08 What happens when the AI gets something wrong?
Every extraction includes a confidence score. Low-confidence results get flagged for human review — your team checks and corrects, and the system learns from the feedback. Over time, it gets better and better.
09 Can you give me a real example?
We built an invoice verification system for a manufacturing client. Supplier invoices arrive as PDFs — the AI reads every line item and automatically matches it against the original purchase order using a 3-pass matching algorithm. Discrepancies in quantity, price, or totals are flagged instantly. What used to take 15–30 minutes per invoice now takes seconds. We also built a system that reads technical cutting list PDFs and automatically generates paint notes for the powder coating supplier — extracting hundreds of profile specifications, categorising them, calculating linear metres, and flagging items that shouldn't be coated.
Keep reading
Related services.
Let's see if we can help.
A 15-minute chat with Chris & Kay. No slides. No pitch deck. You tell us what's on your plate; we follow up by email with real thinking.