Data is growing at a tremendous pace. However, the massive growth also causes a huge problem as 80% of the world’s data is dark i.e. it often lives in an unstructured format inside PDFs, word documents, emails, blogs, etc. and is beyond the reach of traditional database queries. Not anymore. The advent of AI to extract key information from documents offers new and exciting prospects around mining key intelligence out of data.
Using Datalyne Document Understanding AI capability, it is possible to automate invoices, purchase order processing, extract key information from application forms, bank statements, passports, licenses and a variety of other documents. Not only that you can ask questions in natural language and systems can now mine the data within the document and provide meaningful responses.
Upload documents
Digitize and classify documents as per various categories
Extract Information
Apply validation rules
Human-in-the-loop (optional)
Update backend ERP, CRM or other systems.
For most enterprises, extracting information from documents has been a manual operation. Statistics show that on average companies spend 2-3 USD per invoice – which includes all the manual operations such as validating the data, rekeying the information in backend systems, and composing emails – not to mention rework that needs to be done because of manual errors. For high volume cases, automation can save upto 80% of the operational costs.
Humans keying large volume data can lead to fatigue and errors
Faster turnaround of documents
Enhanced SLAs, process visibility, reporting and audit trail
Solution scales as the organization grows. No costly training involved.
Convert mountains of dark data into searchable and actionable insights
Increased operational efficiency leading to faster decision making
Document Understanding AI finds application across a diverse range of industries and functions. Here’s a look at a few areas where it can be applied:
Get started with Document Understanding AI to unlock insights from your documents