Hyland’s Intelligent Document Processing (IDP) solution is a game-changer in the adoption of intelligent automation for content management processes. Using AI-powered learning models to remove human touch points from ingestion and content management processes, Hyland IDP automates the contextualization of your content.
This allows you to derive even more value from your content, which:
- Improves efficiencies
- Enhances accuracy
- Speeds document processing
- Better serves your team and your customers
Let’s take a look at what Hyland IDP can do for your employees and customers, and examine some indicators that your organization should adopt Hyland IDP as you modernize your IT stack.
What can Hyland IDP do?
Intelligently capture and convert text from multiple channels
Using deep-learning (a subset of AI) for its optical character recognition (OCR) engine, Hyland IDP recognizes hand print and machine print for all Latin-1 languages. This allows for the accurate and intelligent ingestion of content into your system, no matter its channel origination.
Separate content using AI
Hyland IDP can separate large packets of multiple documents into individual documents for processing. This can be especially helpful when multiple document types are submitted as part of a single case or application packet (for example, if an ID, proof of residence and a school transcript are submitted together). This speeds workflows and reduces the amount of time your employees spend doing repetitive, manual file separation work.
Use AI to classify content
Using trainable machine learning (ML) models, Hyland IDP analyzes text and images in the document to identify document types. This ensures the right data will be extracted and that downstream, the right information will get to the right people, quickly, for more accurate and actionable views into your work.
Extract data from content and validate it
The same trainable ML models identify data within structured, semistructured and unstructured content and extract it. Then, AI verifies the extracted content for formatting and structure and can automatically validate it against other systems (for example, match the PO number and amount in the invoice to the values in your ERP system). This not only expedites workflows but also ensures data accuracy and limits costly errors.
Continually learn and improve, as a human would
Hyland IDP uses continuous online learning to work toward higher efficiency, accuracy and autonomy. This approach collects user input to correct results — and the AI model learns from the corrections — so results improve with feedback. This gives the AI model the ability to adapt and improve as your workers would, yielding more accurate results and freeing your team of automatable tasks.