Hyland Launches Knowledge Enrichment to Power Agentic AI in the Content Innovation Cloud

Hyland, the pioneer behind the Content Innovation Cloud™, unveiled Knowledge Enrichment, a groundbreaking capability designed to transform unstructured enterprise content into AI-ready data. This innovation directly addresses a long-standing challenge in AI adoption: the fragmented and unstructured nature of enterprise content across formats-documents, images, audio, and video.

With the launch of Knowledge Enrichment, Hyland empowers organizations to convert raw, unstructured content into intelligently structured, contextualized information. This enriched data foundation enables AI agents and automation platforms to operate with a deeper understanding—unlocking more effective decision-making, enhanced reasoning, and scalable action across the enterprise. The new capability extends across all layers of the Content Innovation Cloud, from Knowledge Discovery to Agentic AI solutions, delivering greater accuracy, governance, and insight.

“Organizations are rapidly adopting AI agents and automation, but without properly connecting their unstructured content and data, these AI-driven workflows consistently fall short of expected business outcomes,” said Michael Campbell, Chief Product Officer at Hyland. “Knowledge Enrichment solves this fundamental challenge by transforming content, creating the structured, contextually rich data foundation that AI agents need to deliver meaningful business value. This innovation represents our continued commitment to ensuring the Content Innovation Cloud provides the most sophisticated content intelligence capabilities available.”

Also Read: Aprimo Unveils Enterprise-Grade AI Agents to Revolutionize Content Operations at Scale

What Sets Hyland Knowledge Enrichment Apart

Unlike tools that focus solely on UI enhancements or legacy modernization, Hyland Knowledge Enrichment takes an AI-first approach-transforming unstructured enterprise content into intelligently structured outputs that large language models (LLMs) and AI agents can readily process.

Key Capabilities Include:

• Multimodal Enrichment: Extracts structure, semantics, and relationships from text, images, audio, and video using deterministic methods.
• Data Catalog Integration: Consistently manages enriched metadata for both structured and unstructured content.
• Workflow and Governance Alignment: Seamlessly integrates into content governance and automation workflows within the Content Innovation Cloud.

Built for the Enterprise-Federated, Flexible, and Future-Ready

Whether enterprise content resides in a data lake, ECM system, or across federated repositories, Knowledge Enrichment brings clarity to complexity. It maintains original layouts, semantic integrity, and contextual relationships—ensuring AI systems interpret information accurately and effectively. Designed with content-heavy industries in mind—such as healthcare, insurance, financial services, government, and legal—Hyland’s solution delivers industry-aware transformations that align with compliance and regulatory needs.

How Knowledge Enrichment Fuels AI Success:

• Preserves Document Integrity: Extracts insights from over 600 file types while retaining original layout and semantic meaning for reliable AI interpretation.
• Advanced Structuring and Labeling: Converts content into rich data outputs, including semantic tags, labeled entities, summaries, tables, and vector representations that support LLM reasoning.
• Enterprise-Ready Integration: Feeds enriched content into data lakes, catalogs, and analytics tools—streamlining workflows for data scientists and engineers.

Empowering AI-Driven Transformation

As an API-first solution, Knowledge Enrichment integrates effortlessly into enterprise AI environments. It supports low-code and workflow-based platforms, enabling both business and technical teams to access and utilize enriched metadata with ease.

Key Business Outcomes:

• Improved AI Accuracy: Enriched content provides deeper context, resulting in better performance and reasoning from AI systems.
• Faster AI Deployment: Reduces manual data prep and speeds up model development and deployment.
• Scalable AI Readiness: Lays a consistent, structured data foundation across the organization for AI, analytics, and automation initiatives.

“I continue to be impressed by the Content Innovation Cloud, and how Knowledge Enrichment can extract meaning from images and text,” said Roy Godwin, Managing Director, ECM360. “For insurers capturing photos and damage descriptions, it streamlines the entire intake process and lays the groundwork for smarter claims automation.”