Let software do the copy-paste
AI reads the emails, PDFs and forms that arrive every day, pulls out what matters and puts it where it belongs. A person approves what needs approving.
- PDF / scan
- web form
- your CRM / ERP
- approval queue
- spreadsheet
Hours lost to re-typing
Invoices, orders, applications and requests arrive in different formats. Someone reads each one and types it into another system.
- Typing errors that surface weeks later
- Work that piles up when someone is away
- Skilled staff stuck on data entry
Our approach
- 01
Map the process
We follow one document from arrival to its final system and note every decision on the way.
- 02
Automate the reading
AI extracts the fields, checks them against your rules and flags anything unusual.
- 03
Keep a person in the loop
Clear cases go straight through. Uncertain ones wait for approval, with the source shown next to each value.
- 04
Connect and measure
We connect your systems and track how many items go through untouched and how many need a person.
What you get
- An automated flow for one or more document types
- Confidence checks and an approval queue
- Connections to the tools you already use
- An audit trail of every item processed
- A dashboard of volumes and exceptions
Typical stack
- Document and image reading
- Email and webhook triggers
- Node.js workers
- Postgres
- APIs to your systems
Where it fits
Supplier invoices
Read incoming invoices, match them to orders and prepare them for booking.
Customer requests
Sort incoming emails, pull out the details and open the right ticket or task.
Applications and forms
Check submitted documents for missing information before anyone opens them.
Casemind
We built this into Casemind: it reads court documents and fills in case details for a lawyer to confirm.
Which process would you hand over first?
Book a call. Bring one example document and we'll walk through how it could be automated.