Hyland ushers in new era of IDP with semantically enriched, context-aware AI agents

Hyland, the pioneer of the Content Innovation Cloud, is launching its next-generation agentic document processing solution, designed to drive the intelligent transformation and automation of content-oriented processes. Hyland’s latest iteration of its intelligent document processing (IDP) capabilities utilizes the power of generative AI (GenAI) and agentic AI to reimagine how enterprises interact with their structured and unstructured data, according to the company. 

At its core, this launch represents a new evolution of enterprise content access, bringing in advanced AI to transform both documents and unstructured data into rich, machine-interpretable representations. Engineered to understand, reason, and act autonomously, Hyland’s agentic document processing is powered by advanced semantic understanding and context-aware AI to enable autonomous decision making at scale, across the organization. 

"We're not simply applying agentic AI to automate individual tasks—we're transforming entire processes and broader workflows, which represents a fundamental differentiation in how organizations can leverage AI to drive meaningful business outcomes," said Jitesh S. Ghai, Hyland’s CEO. "By leveraging generative AI, Hyland's agentic technologies not only discover and reason, but drive action across all levels of enterprise business processes. This includes making decisions and driving intelligent automation to realize business outcomes not possible before—something that no other technology provider in content management can do today."

Empowering true enterprise intelligence at scale, Hyland’s agentic document processing eliminates low-value, manual tasks to drive greater operational efficiency. The solution is purpose-built for highly regulated, mission-critical industries—such as healthcare, financial services, government, and insurance. 

For example, Hyland’s agents can triage inbound documents in a healthcare environment, further extracting clinical intelligence, reasoning over patient histories, and updating records in near real time. Agents then issue follow-up actions or alerts as they arise, without disrupting existing workflows or damaging data integrity. 

"Hyland has been delivering core components of intelligent document processing for years—through document capture, classification, and workflow automation," said Alan Pelz-Sharpe, founder of Deep Analysis. "Adding agentic AI enables more autonomous, intelligent actions, marking an evolution of its capabilities. Hyland is now well-positioned to support the future of intelligent document processing."

Some differentiators of Hyland’s agentic document processing include:

• Zero-shot, context-aware agents that do not require training data; agents are built to understand document types and extract meaning from the entire content, not just individual fields 

• Enriched with semantic intelligence, enabling agents to discover the reasons behind data patterns and make contextually driven decisions 

• Process-aware by design, allowing agents to support entire workflows—from decision making to exception handling and cross-system integration

• Deployed on the Content Innovation Cloud, ensuring that agents are secure, scalable, and interoperable with Electronic Health Records, Enterprise Resource Planning, Customer Relationship Management, and legacy platforms

To learn more about Hyland’s agentic document processing, please visit https://www.hyland.com/en.