ADAM reads the documents your suppliers already send, matches them against each other, and tells you what does not line up. The capture, extraction, reconciliation and reporting spine is configuration, not custom code: one production customer runs entirely on it with nothing built specifically for them. Your team keeps its mailbox, its spreadsheets and its ERP.
Match each invoice to its purchase order across every site in a network, litres per station per date.
Fuel stations
Reconcile carrier invoices against a bill rebuilt from your own call records, per vendor per billing period.
Telecom carriers
Keep parts stock current from delivery notes, then issue the invoice in three taps and no logins.
Garages and workshops
Turn forwarded quotes into a purchase order or sales proposal in your own system, without retyping a serial number.
IT hardware distributors
Documents reach ADAM the way your suppliers and colleagues already send them: forwarded email, a message with a photo attached, PDFs, scans and spreadsheets. Nobody has to log into a portal, and no supplier has to change how they invoice you.
Where the data lives in a system rather than a document, ADAM can collect it from there instead. That includes a secure file drop you already publish to, a shared cloud folder, or a scheduled API pull from a platform you already run. That last one carries the most weight: an internal record from your own billing or ERP system becomes the expected figure a supplier invoice is tested against, so the check runs on your numbers rather than the vendor's. Each API connection is built for the system in question rather than picked from a catalogue.
Results travel the same way in reverse. Reconciled rows land in the spreadsheet your team already works in, exceptions arrive as an emailed report or a messaging digest, and where a finished record belongs in your own system, ADAM can write it there once a person has approved it.
Real documents test capture technology before reconciliation even begins.
| Feature | Template OCR | General document AI | ADAM Data AIADAM |
|---|---|---|---|
| Handwriting on a printed line | Needs a template | Reads it | Reads and validates it |
| Rotated phone photos | Often fails | Reads them | Reads and validates them |
| A layout never seen before | New template | Reads it | Configured document type |
| Line items continuing across a page break | Often splits rows | Extracts rows | Joins continued rows |
| Comma decimal separators | Field rule | Varies | Normalises consistently |
| dd.mm.yyyy dates | Field rule | Varies | Normalises consistently |
Reading the document is the easy half. The work is in matching delivery notes to invoices.
Forward a real invoice or delivery note to our demo inbox, or send it on WhatsApp, and watch ADAM extract and match it in minutes.