Hyland has announced the launch of Knowledge Enrichment for its Content Innovation Cloud, a significant enhancement aimed at helping enterprises unlock greater value from their unstructured content by delivering meaningful context to AI models. The new capability is designed to bridge the gap between fragmented enterprise data and agentic AI systems that rely on precise, context-aware information to perform complex tasks. As organizations increasingly depend on generative AI and agentic AI agents for decision-making and automation, Hyland’s solution ensures that these technologies are fueled by accurate and contextually relevant insights drawn from vast repositories of unstructured documents, communications, and legacy records. The Knowledge Enrichment capability leverages Hyland’s deep content services expertise to create enriched, AI-ready knowledge streams that improve the quality and trustworthiness of AI outputs, thus accelerating productivity, innovation, and automation.
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“To function effectively, today’s most advanced AI tools require content that’s accessible, relevant and trustworthy. Most organizations, however, remain constrained by legacy systems and fragmented data,” said Leonard Kim, Hyland’s Senior Product Evangelist. “We believe organizations will increasingly seek out intelligent content solutions like Hyland’s to unlock the full potential of AI – particularly agentic AI – across the enterprise.” The company positions its latest offering as an answer to the growing demand for intelligent content infrastructures that can enable enterprises to go beyond traditional search and retrieval, instead transforming passive content into active knowledge assets. By contextualizing unstructured data and aligning it with business needs, Hyland’s Knowledge Enrichment empowers AI tools to deliver more accurate outcomes while reducing risk and inefficiencies. The announcement underscores Hyland’s broader strategy to lead in the intelligent content services space, helping businesses modernize their information ecosystems in ways that directly support advanced AI initiatives.
