Organizations deal with more inbound content than ever, comprised of many formats, such as PDFs, emails with attachments, mobile images, and more. Processing files manually takes time, costs money, and often leads to mistakes.
Files such as invoices, sales orders, customer communications, and employee records contain valuable information, but without the ability to find, understand, and act upon the data within, important workflows are delayed. Too often, the burden of effectively using content falls on individuals, with extra steps required to manually review content, add tags, and manage content-intensive workflows.
In response, organizations across all industries are replacing manual data entry and file tagging with intelligent document processing solutions. By automating document capture, classification, processing, and data extraction, manual tasks are reduced, freeing up employees and teams for higher-value work, reducing errors, and improving data utilization.
Intelligent data processing enables organizations to expand information capture with the latest AI technologies and business process automation tools to accelerate revenue workflows and create better customer and employee experiences. When organizations optimize automation, everything moves faster and more consistently, which is vital to remain competitive and compliant.
Intelligent document processing accelerates downstream workflows to increase efficiency and productivity through three core stages:
Intelligent document processing solutions are ideal for files that need to be organized, searched, and acted upon quickly. That makes intelligent document processing a critical tool in bringing new efficiencies to many industries and critical business functions. Some examples include:
Here’s an example of a common customer onboarding scenario: applying for a bank account. To verify the customer’s identity, the person uploads a PDF with a utility bill, a rental agreement, and a scanned driver’s license. Behind the scenes, an intelligent document processing solution like OpenText™ Capture goes to work. It automatically separates the three documents, classifies each one, and extracts key data, such as name, address, and account numbers. If any information is missing or unclear, the system flags it for quick human review using a simple web interface. After the intelligent document capture is complete, the IDP solution automatically exports files and metadata to the bank’s system, triggering the next workflow in the customer onboarding process.
Intelligent document processing maximizes efficiency with information capture, AI, and process automation. Customers and employees benefit from faster onboarding and case resolution—even the tone of a customer communication can trigger who the system assigns to a support ticket. Both groups also experience less frustration stemming from manual tasks and lost documents.
No matter how information comes into an organization, the content is immediately transformed to make it usable and searchable. It feeds automated business processes, removing the burden from the user to manually review content, add tags, and decide whether to kick off the next workflow.
As a result, organizations benefit from:
OpenText offers complete intelligent document processing solutions through OpenText™ Content Cloud, which combines intelligent capture, AI-powered automation, and deep integration with enterprise systems to help organizations work smarter and faster.
Unlike point solutions that only handle one part of the document lifecycle, OpenText provides end-to-end capabilities—from document ingestion and classification to data extraction, workflow automation, and secure archiving. This unified approach reduces complexity, improves accuracy, and speeds up time to value.
Here’s what sets OpenText apart:
With OpenText, organizations reduce manual work, improve data quality, and accelerate digital transformation, while maintaining control over their content and workflows.
Discover why organizations choose OpenText for intelligent document processing
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