A typical case would involve major steps

Classify

Extract

Validate

Tracking

History & Versioning

Companies all over the world are embarking on ambitious plans to digitise their business processes, with processes classified as low, medium, or high based on the risks associated with both functional and operational risks. As a result, data flows digitally in a highly automated fashion, lowering costs, increasing efficiency and quality, and increasing flexibility.

What are your stakes in this journey?

This vision could become a reality at some point. Despite the difficulties associated with manual document processing, we anticipate that most of our documentation will be paperless in the near future. Although many businesses have taken steps to reduce their reliance on paper, they have discovered that doing so is more difficult than they anticipated. Internal and external factors have combined to make the transition to fully paperless processes nearly impossible.

Factors that need to be accounted for a successful implementation

  • All integrated IT systems
  • Comprehensive view on data
  • Automated process
  • Reduce manual processing
  • Remove data silos

We observed in real-time that businesses do not want to rely on fully automated solutions in business-critical activities where they want a check point to verify the data before it is sent to the system. The goal is fully automated document processing, but human in the loop solutions provide greater value and confidence to the user.

When it comes to engineering and R&D setup, one of the most significant digital document transformations occurs with legacy data dating back 10 to 15 years. The same is true for banking and insurance, where they keep legacy data on their customers and transactions for more than 5 years, though this varies by country.

Document management system improves experience, environment, enterprise architecture. A recent experience proved that organization have reached different stages of maturity for their system and data architecture. This improves the ability to digitize processes, and cycle time. To empower this process, Bautomate allows the humans to review, flag process exceptions, help system learn and improve over a period of time.

Invoices are manual documents that are typically received via email, WhatsApp, hardcopies, and scanned copies that are received as images in JPEG or BMP format. Bautomate has a powerful engine that assists in document classification and processing. Here’s an example of an invoice document received via email, processed, and posted to the system’s ledger. This gives a high-level overview of document automation with humans in the loop.