Hyland has introduced a major set of AI-driven platform enhancements aimed at helping organizations move beyond pilot projects and deploy artificial intelligence at enterprise scale. Announced at CommunityLIVE 2026, the latest innovations expand the capabilities of the company’s Content Innovation Cloud, enabling businesses to transform enterprise content into trusted intelligence that powers agentic automation across industries.
The launch includes the general availability of the Enterprise Context Engine, alongside new industry-specific ontologies designed to provide AI systems with deeper business understanding. Hyland also introduced Enterprise Agent Mesh, a framework for orchestrating AI agents across complex environments, as well as Control Tower and Agent Lifecycle Management capabilities to provide governance, monitoring, and operational oversight.
“AI is being used to accelerate business outcomes, but the winners will be the enterprises that can embed AI into their operations with governance and control,” said Jitesh S. Ghai, CEO at Hyland. “At Hyland, we see healthcare, insurance, banking, education, and government professionals spending significant amounts of time on manual work with documents, and we believe agents should automate the mundane so professionals can refocus on the joy of the job. Our latest innovations are designed to do just that, delivering the critical building blocks needed to operationalize the content-powered agentic enterprise at scale.”
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The Enterprise Context Engine is designed to improve AI accuracy by enriching content with industry-specific knowledge structures. These ontologies help AI understand relationships between entities, terminology, regulations, and processes across sectors such as healthcare, banking, insurance, education, and government, enabling more informed and context-aware decisions.
Hyland also demonstrated few preconfigured industry solutions; for example Agentic Hospital, Agentic Bank, and Agentic Accounts Payable. These solutions are built to customize to meet the requirements of automated document-centric processes, with the benefit of optimizing cost and maximizing efficiency without compromising governance.
To facilitate broad AI adoption, the company launched Enterprise Agent Mesh and Control Tower that give organizations a single view of the activity and performance of their AI agents, as well as policy enforcement controls.
Enterprise Agent Lifecycle Management also simplifies agent management from deployment to retirement so organization can be held accountable. Hyland announced a new headless mode that exposes its AI-native content and data fabric across APIs providing its customers, developers and technology partners with the ability to insert governed content intelligence into third-party applications and AI ecosystems.
Overall, the announcements illustrate the broader message of Hyland’s vision to help organizations operationalize AI with more context, control and scale so that enterprises can transform information into insight and deliver relevant business value.