Keep your workflow. Let ADAM Data AI reconcile invoices, delivery notes and orders.

ADAM Data AI captures operational documents such as invoices, purchase orders and delivery notes from email, WhatsApp, PDFs and spreadsheets, structures them into clean data, matches the related documents together, and flags anything missing, duplicated or wrong. Document types and matching rules are configured per customer rather than fixed, so the same engine serves fuel and station networks, telecom carriers, workshops and distributors. It works alongside the tools a team already uses, so teams get reconciled records without changing how they work.

OCR and generic AP automation mostly read a single invoice and route it for approval. ADAM Data AI goes further: it matches each invoice against its purchase order and delivery note and reports the row-level differences, so missing loads, price drift and duplicates surface early. The matching runs on configurable, deterministic rules, so every decision is auditable and repeatable rather than a black-box guess.

No. Teams keep sending documents the way they already do, by email, WhatsApp, PDF, photo or spreadsheet, and ADAM works beside that flow instead of replacing it. There is no new portal to log into and no ERP migration required.

ADAM reconciles the operational documents that move between a company and its partners, including invoices, purchase orders, delivery notes, pickup slips and inventory records. It reads them from unstructured sources like PDFs, scans and photos and turns them into structured rows that operations, accounting and management can use.

ADAM pairs each line on a delivery note with the matching line on the invoice and the order, using the fields that identify a transaction such as date, product, quantity and location. When a line is missing, duplicated, or the values do not agree, ADAM flags it for review with the original document kept as evidence. Because the rules are configured per customer, the matching reflects how that business actually works.

Yes. Once documents are reconciled, ADAM can push the clean data into dashboards, Excel, Google Sheets, SAP, Oracle or a custom workflow. This lets ADAM act as a bridge from legacy paper and PDF documents into the structured systems a team already reports from.

ADAM Data AI is a Swiss company, and its engine is configured per customer rather than for a fixed market, so it runs for operators across industries and countries. It handles English and German documents today and adapts to each customer's document formats and multi-site partners that submit paperwork across several locations.

Yes. You can try ADAM live in the interactive demo: forward a sample invoice or delivery note to the demo mailbox, or send it over WhatsApp, and watch ADAM extract, match and flag the documents in real time. It is the fastest way to see how ADAM would handle your own paperwork before any commitment.

Yes. Alongside email and messaging, ADAM can collect data from 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 matters most: an internal record from your own billing or ERP system becomes the expected figure a supplier invoice is tested against, so the check uses your numbers rather than the vendor's. Each API connection is built for the specific system rather than chosen from a catalogue of connectors, and ADAM can write a finished record back the same way once a person has approved it.