Building and deploying AI agents is too complex
Our point-and-click AI agent builder enables you to create agents from the ground up or to use prebuilt agents to start quickly. Your task- or collaboration-oriented agents leverage your content and context to effectively integrate into new and existing workflows.
Your AI agents aren’t enterprise-wide workers
Agent Builder embeds AI agents into workflows using REST APIs and model context protocol (MCP). Your agents become part of Hyland Enterprise Agent Mesh, a network of context-aware, use case-specific enterprise agents that are connected to your federated, contextual, AI-ready data.
Your AI agents lack contextual awareness
AI agents built with Agent Builder act on a combination of AI-ready data, deep business context and industry expertise. Agent Builder enables your agents to understand not just your documents but also the decisions, tasks and workflows wrapped around them.
Key features
Intuitive point-and-click interface
Build AI agents then manage their behavior by choosing your AI models and content resources; providing instructions and outcomes; and testing agent performance all through an intuitive interface.
Human-in-the-loop capabilities
Apply the right level of human-AI collaboration to your agentic workforce. Built with human-in-the-loop capabilities, Agent Builder supports scalable human oversight based on the complexity or sensitivity of the work.
Simple testing features
Before embedding agents into workflows, test them and make configuration and model adjustments until you get your desired output.
AI agent lifecycle management
Align agents with your business requirements from creation to optimization. Version, test, deploy, monitor and continuously improve your agents as business needs evolve.
Complex task and AI agent workflow automation
Enterprise Agents can process and act on large volumes of information, and with awareness of larger context, can tackle multistep workflows that traditionally required human involvement.
Simple integration
Your AI agents integrate with existing and new workflows, as well as third-party applications. They can be directed to absorb or transform content and access data from external systems.
Agent customization
Create specialized AI agents with specific domain expertise and tools, fit them to your use cases or choose from a catalog of agents, then fine-tune them to your needs.
Multiagent configuration
Chain your AI agents to leverage multiagent collaboration to automatically execute complex business workflows that traditionally require multiple steps and human interactions.
Enterprise-grade governance
Unlike consumer AI platforms retrofitted for business use, Agent Builder extends your data governance strategy to AI models and their outputs.
Built to fit the needs of your workforce
Insights from industry leaders
Forrester study: Unlocking the full potential of AI agents
Enterprise-wide AI agent adoption is accelerating
In this Hyland-commissioned study by Forrester Consulting, Forrester found that more than 45% of organizations already use AI agents and another 25% are piloting them. Although adoption is accelerating, most organizations struggle to scale beyond early use cases due to a lack of enterprise context.
Forrester provides key recommendations for how to get AI agents right, as well as detailed data on enterprise trends around agent use. Download this report to learn more about how organizations are looking to AI agents to optimize workflows, make smarter decisions and create more personalized experiences.
Stop being intimidated by AI agent implementation and start confidently building and deploying your own agent workforce
Adding Agent Builder to your business operations allows you to scale intelligently while modernizing, all so you can better meet the needs of your teams and your customers. Bring in the power to automate complex, content-driven processes while maintaining the control and compliance your business requires.
Hyland brings decades of proven expertise across many industries, including healthcare and financial services. We understand what’s critical to your work, so your agentic AI journey is built on your enterprise content knowledge.
Frequently asked questions
Do users need technical expertise to use Agent Builder?
The intuitive point-and-click interface enables business process owners to design and test AI agents. A level of technical expertise is needed to embed agents into workflows.
How does Hyland ensure customer data remains secure?
Security and governance are foundational to Agent Builder and its Enterprise Agents. Hyland protects all AI interactions with AES-256 encryption at rest and TLS 1.2+ in transit. Access is controlled through role-based permissions, and every action is fully logged for traceability. Configurable guardrails and usage policies help you manage model behavior, ensuring compliance with your organization’s data-protection and governance standards.
For sensitive information, such as college transcripts protected by FERPA, Hyland provides robust guardrails to prevent data from being exposed to or retained by AI models.
How does Hyland ensure compliance for Enterprise Agents built in Agent Builder?
Agent Builder and its Enterprise Agents are built to align with major compliance frameworks, featuring robust operational controls, auditability and governance. Customers must ensure their specific use cases and deployments are properly attested and configured to meet their regulatory obligations.
For more information about how each of our AI-native products use AI, check out the AI Service Cards in the Hyland Trust Center.
How do users maintain control over automated decisions?
Scalable human oversight is a core feature of Agent Builder. Agent Builder provides configurable human-in-the-loop or human-approval checkpoints so you review or escalate agent-generated outcomes when needed. This lets you enforce business policies, quality standards and audit-ready traceability for automated activities.
Do Agent Builder’s Enterprise Agents keep a history of the conversations or tasks?
Yes. Enterprise Agents maintain a secure, auditable history of all prompts, interactions and task executions. These logs can be viewed within your environment or integrated with external observability and compliance tools. Only your organization can access this data, giving you complete visibility and accountability for how agents make decisions and perform over time.
What AI models can be used with Agent Builder, and how are they managed?
Agent Builder provides access to a curated selection of leading AI models from providers like AWS Bedrock, ensuring they meet enterprise governance standards. You can select a model based on your specific task, balancing accuracy, speed and cost.
We also support a "Bring your own model" (BYOM) approach, allowing you to use your own model subscriptions and credentials. This gives you full control over data sharing and usage.
Can Agent Builder’s Enterprise Agents be used with on-premises systems?
Enterprise Agents can be implemented in a hybrid environment where they are called from an on-premises or private cloud environment via REST API. This allows you to keep your data within your secure networks.
How do Agent Builder’s Enterprise Agents integrate with other systems like Hyland OnBase, Hyland Alfresco and third-party applications?
Enterprise Agents are built for interoperability across the Hyland ecosystem and beyond. They integrate seamlessly with Hyland solutions such as OnBase, Alfresco and Hyland Automate, while also connecting to third-party systems through REST APIs. This allows you to embed agents into existing content and workflow environments — without requiring AI expertise — and extend automation across your broader technology landscape, including internal APIs and RPA tools.
What are some of the current capabilities and limitations of Enterprise Agents?
Enterprise Agents are designed to accelerate decision-making within existing workflows. You can define the type of inputs you want to feed to the agents and the outputs you will receive. These outputs can be used to make decisions, feed into the next step or drive the workflow entirely.
Enterprise Agents excel at analyzing data, summarizing content and taking action on your content. For instance, they can analyze documents to identify if the only required action is to contact someone. They can also identify duplicate pages between related documents to recognize content a user may have already seen. However, a current limitation is that while they can identify such duplicates, they do not automatically remove them; this action would need to be handled as a separate step.
Can Agent Builder’s Enterprise Agents work with data in external repositories or data lakes without moving it?
Yes, Enterprise Agents can view and act on content inside your own data repositories, including data lakes or SharePoint, without requiring you to move that data into Hyland Content Innovation Cloud™, Hyland’s unified content, process and application intelligence platform. The agents can leverage AI-ready data from various sources, including external repositories, to make decisions and process information.
Do Enterprise Agents replace the need for capture functionalities and tools like OCR, IDP or Hyland Brainware?
No, Enterprise Agents do not replace tools like IDP or Brainware; however, they extend their value. OCR and IDP technologies are still essential for digitizing documents and turning them into machine-readable text. Learn more about Hyland IDP capture capabilities and Hyland Knowledge Enrichment for AI-readiness.
Can Enterprise Agents process content in multiple languages?
Yes, Hyland supports the processing of content in over 200 languages. The multilingual capabilities of a specific agent will depend on the Large Language Model (LLM) you select to power its "brain." While English often yields the best performance, the support for other languages in modern LLMs is strong and continues to improve, enabling agents to handle multilingual content effectively.