Company A ran on documents, but the data they needed were messy inputs. Invoices and contracts came in as PDFs, while supporting materials included images, charts, old personal documents, fingerprints, and handwriting. Teams spent days extracting details, correcting errors, and chasing missing information, which led to payment delays and higher risk of missing obligations.

So, we implemented a document workflow that turns documents into structured, usable information. For example, mixed formats such as handwriting is converted into standard text, then validated through a side-by-side display with the original document. This allows for a quicker and more efficient review and correction before anything flows into downstream systems. Large document repositories with over 500k documents can also be summarised and indexed so teams are able to retrieve what they need faster and get specific answers without digging through files. As a result, this reduces manual work and improves search efficiency by 80-90%*, speeding up processing and allowing for smarter resource allocation.