Hyland Software Inc., a leading enterprise content management company, has unveiled two new components of its Content Innovation Cloud. According to the company, these additions deliver a unified and continuously updated view of organizational content, processes, people, and applications, supporting a network of task-specific AI agents.
The Enterprise Context Engine gathers data from enterprise resource planning, customer relationship management, and human resources systems, mapping relationships to create what Hyland calls a "real-time record of enterprise activity."
Enterprise Agent Mesh is a network of industry-specific, task-oriented agents targeting sectors like healthcare, banking, insurance, government, and higher education. Hyland explains that this network uses a context layer to make decisions and take actions within complex workflows, while preserving institutional knowledge and incorporating human feedback.
This year, the company has launched six new cloud services and plans to introduce four more next year. The new context and agent layers aim to unify these capabilities and apply them to enterprise automation.
Jitesh Ghai, CEO of Hyland, joined the company last year from data integration giant Informatica Inc. He described the announcement as the next step in applying AI to enterprise operations. “We are entering an era of AI-driven, AI-enabled intelligence and automation,” he said in an interview.
Shared Service Layer
Ghai described the Enterprise Context Engine as “a shared service platform layer” beneath Hyland’s products and agent solutions. He noted that it uses graph analytics to connect artifacts in a way that informs workflows and supports new applications.
Hyland states that most of the required data already exists within customer environments or its own repositories. Existing workflows and decisions are captured by Hyland’s engine and associated with each organization’s context model.
The company will offer pre-built networks for its core verticals, along with a no-code platform customers can use to customize or assemble their own solutions. “The Agent Mesh architecture enables organizations to replace business processes with agent networks using the Enterprise Context Engine,” Ghai explained.
He contrasted this approach with general-purpose agent builders that require extensive process reengineering. “Our perspective is straightforward: we have the data. We understand the business processes,” he said. This allows Hyland’s approach to “replace human decisions with agent decisions, with minimal disruption.”
Hyland emphasizes that the platform is designed to work alongside customers’ existing repositories and workflow engines. The architecture connects to systems of record and agents from other vendors via the Model Context Protocol. Customers can audit “every decision made by each agent” to understand why a particular action was taken, according to Ghai.
