Agent Builder allows you to create Hyland Enterprise Agents that understand your business and your industry.
Agent Builder helps you scale automation with built-in human oversight to help you get the outcomes you want, faster.
Agent Builder lets you create, configure and manage AI agents that can execute complex workflows on their own, using the right level of human oversight.
Built for scale and designed with guardrails, Agent Builder reinforces the power of your team by improving speed, accuracy and efficiency, all while keeping AI accountable and aligned to your goals.
Agent Builder provides the capabilities you need to create, test and manage Enterprise Agents throughout their lifecycle.
Build Enterprise Agents from the ground up or select prebuilt agents to start quickly. Task- or collaboration-oriented agents leverage your content and context to effectively integrate into new and existing workflows.
Manage Enterprise Agent behavior by selecting AI models and content resources, providing instructions and outcomes, and testing agent performance all through an intuitive interface.
Before embedding agents into workflows, test them and make configuration and model adjustments until you get your desired output.
Align Enterprise Agents with your business requirements from creation to optimization. Version, test, deploy, monitor and continuously improve your agents as business needs evolve.
Instruct Enterprise Agents to process and act on large volumes of information. Coordinate with multiple agents to tackle multistep workflows that traditionally required human involvement.
Connect your Enterprise Agent to Hyland's Enterprise Agent Mesh, enabling intelligent automation and decision-making for complex, domain-specific workflows.
— Michael Campbell, Chief Product Officer, Hyland
Agent Builder enables you to design and manage Enterprise Agents while maintaining human oversight when and where it matters.
Built with enterprise governance and security at the core, Agent Builder’s agents free your team to focus on what makes the most meaningful impacts.
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.
Enterprise Agents handle time-consuming, repetitive tasks that drain human capacity. Leverage Agent Builder to eliminate the need for manual processing of documents, data entry and routine decision-making.
Enterprise Agents understand your content, processes and business context. This allows them to make informed decisions, take the next best action and respond quickly to changing business needs.
Enterprise Agents scale your operational capacity without proportional increases in hiring or training. With Agent Builder, you can handle growing demands while maintaining quality and consistency.
Enterprise Agents reduce human error in repetitive, complex workflows. This promotes consistent execution of business requirements and leads to more predictable outcomes with and higher-quality work.
Automate identity verification and risk assessment by analyzing customer documentation, cross-referencing data sources and flagging discrepancies for compliance review.
Don't let manual workflows limit your growth. Agent Builder gives you the power to automate complex, content-driven processes while maintaining the control and compliance your business requires. Take action today and free your team for the high-value work that drives real impact.
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.
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.
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-powered products use AI, check out the AI Service Cards in the Hyland Trust Center.
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.
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.
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.
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.
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.
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.
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.
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.
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.
