Hyland launches agentic AI tools to boost enterprise automation
Hyland has announced the release of two new technologies which focus on providing agentic AI to enterprise organisations without the need to replace existing IT infrastructure.
The Enterprise Context Engine is designed to create an integrated and dynamic record of business activity, connecting data, processes and people across a variety of enterprise systems, including Enterprise Resource Planning (ERP), Customer Relationship Management (CRM), and Electronic Health Records (EHR).
Alongside this, the Enterprise Agent Mesh offers a network of multi-agent systems that are specifically tailored to automate complex decision-making and workflows for industry sectors such as healthcare, banking, insurance, government, and higher education.
Technology details
According to Hyland, the Enterprise Context Engine provides a unified perspective on operational activities within an organisation. By updating and integrating data across disparate systems, this technology is intended to serve as an up-to-date repository that reflects ongoing business processes, content interactions, and personnel involvement.
Building upon this contextual core, the Enterprise Agent Mesh is described as a set of specialised agents, each customised for particular industry use cases. These agents are intended to automate decision-making and processes in environments where complexity and regulatory requirements are high, while retaining institutional knowledge and incorporating human feedback into continuous improvement cycles.
"Over the last year, Hyland has delivered innovative cloud and AI solutions that help organisations unlock the new and greater value from their mission-critical content, data, and processes. With this launch, Hyland is introducing more industry firsts, the Enterprise Context Engine, which powers an Enterprise Agent Mesh of interconnected AI agents. These innovations deliver ubiquitous enterprise intelligence and, in turn, enterprise automation, helping organisations fully automate routine tasks and enabling their people to focus on the highest value work," said Jitesh S. Ghai, CEO at Hyland.
Approach to integration
Hyland's approach focuses on augmenting current enterprise workflows rather than replacing them, in contrast to some consumer AI models. The intention is to make AI adoption feasible for organisations while they continue using their existing ERP, CRM, and EHR systems.
Michael Campbell, Chief Product Officer at Hyland, stated, "Implementing and benefitting from AI shouldn't force enterprises to rebuild themselves. The Enterprise Context Engine and Enterprise Agent Mesh AI-enable an enterprise's existing content and workflows with intelligence and automation, leading to better decisions and more valuable outcomes – not replacing their teams, but empowering them to do more."
Knowledge retention and human feedback
The combined system is built to retain and scale institutional knowledge, improving over time through feedback from users. Hyland emphasises that human-AI collaboration underpins these new releases, with the aim of generating more intelligent organisational outcomes.
Hyland's status as a long-standing supplier of enterprise content management is cited as critical to its role in developing AI designed for enterprise environments. The company highlights trust, security, and industry-specific expertise as key differentiators for its AI systems compared to broader consumer-oriented platforms.
