Hyland, the pioneer behind the Content Innovation Cloud™, has announced the launch of Agent Builder, a powerful new tool enabling organizations to design and deploy enterprise-grade AI agents. Purpose-built to drive operational efficiency and streamline decision-making, Agent Builder empowers enterprises to accelerate mission-critical workflows while maintaining robust governance across hybrid and cloud environments.
“Agent Builder makes context aware enterprise agents practical and manageable, so that organizations can realize the true benefits of AI augmentation while amplifying their human teams,” said Michael Campbell, Chief Product Officer at Hyland. “With this new addition to the Content Innovation Cloud, we’re helping organizations move from experimental AI to real-world solutions, enhancing decision-making and freeing up their teams to focus on higher-value work.”
Addressing Enterprise Innovation and Productivity Challenges
Agent Builder tackles a core challenge in the enterprise AI space—how to efficiently process vast volumes of information to enable more strategic, human-centered tasks. Developed on the Content Innovation Cloud, the tool allows organizations to create intelligent, domain-aware agents that generate measurable business impact.
Key capabilities include:
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A low-code environment for streamlined agent creation
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Interactive testing to validate agent performance before deployment
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Built on an open-source, integration-ready tech stack
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Tools leveraging the Model Context Protocol (MCP) for advanced customization
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Easy switching between large language models (LLMs) for model flexibility
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Turning AI into Enterprise Action
With Agent Builder, enterprises can deploy purpose-driven AI agents that are tailored for task automation or team collaboration. These agents can be easily configured using low-code interfaces or advanced APIs and come pre-equipped with industry-specific prompts.
Organizations in sectors like financial services, insurance, and healthcare can leverage agentic solutions to automate complex, compliance-heavy workflows. For example, a financial services firm can deploy an AI agent to verify applicant documentation, flag inconsistencies, and auto-generate compliance reports—cutting down on manual processing and reducing fraud risks.
Seamless Integration and Scalable Oversight
Designed for real-world enterprise environments, Agent Builder integrates smoothly with Hyland’s existing platforms such as OnBase and Hyland Automate, supporting gradual and non-disruptive AI adoption. This approach minimizes the typical friction points of AI implementation, such as employee retraining or workflow interruptions.
The platform also supports scalable levels of human oversight—from human-in-the-loop to fully autonomous—giving organizations the flexibility to balance automation with accountability, especially in sensitive or high-stakes workflows.
Robust Integration Capabilities
Agent Builder is built for flexible enterprise deployment with:
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REST API support for broad compatibility across technical environments
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Native integration with Hyland solutions including OnBase and Automate
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Cross-platform collaboration tools enabled by Model Context Protocol (MCP)
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Planned support for Agent-to-Agent (A2A) integration, paving the way for open, modular agent ecosystems across the enterprise
With the introduction of Agent Builder, Hyland continues to lead in delivering pragmatic, scalable AI tools designed to meet the complex needs of modern enterprises. The solution empowers organizations to move beyond experimental AI use cases, achieving tangible value through intelligent automation.