1. Understand the process
We start with the actual workflow: entry point, data sources, rules, decisions, exceptions and handover.
Documents should trigger work — not copy-paste.
ATTAMATION automates the extraction, validation and processing of documents. Unstructured PDFs, forms and spreadsheets become usable data, review notes, tasks and system entries.
The problem
PDFs, scans, purchase orders, delivery notes, forms and service reports contain valuable information, but often create manual typing work in the back office.
What can be automated
- recognize and classify document types
- extract relevant fields from PDFs and scans
- validate data against rules and master data
- mark exceptions
- prepare review interfaces
- send data to CRM, ERP, accounting, shops or spreadsheets
What improves
- less manual data entry
- faster order and document processing
- better data quality
- clear exception handling
- traceable handovers into existing systems
How ATTAMATION works
2. Define a pilot
The first step is intentionally small. A pilot should prove whether the automation works in daily operations and where human review is needed.
3. Build the automation
We connect AI, rules, workflows, data sources and integrations. Critical steps are logged and reviewable.
4. Improve and scale
After the pilot, we decide whether to expand, integrate, stabilize or reuse the process as a repeatable building block.
FAQ
Is this just a chatbot?
No. Chatbots can be one component, but most value comes from process automation: extracting data, checking rules, triggering workflows, creating drafts and connecting systems.
Does everything run fully automatically?
Only when it makes sense. In many B2B processes, human review is safer and more valuable: AI prepares the work, humans approve critical steps.
What is the best starting point?
A clearly scoped process that happens often and creates measurable effort, such as inquiry to quote or PDF to structured record.