Your ECM Solution Already Knows Your Documents. Now It Can Think About Them

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You have spent years building an OnBase or ECM environment that your organization depends on. You understand the document types, the keyword schemas, the life cycles, the queues. You know where data lives and how it moves. That expertise is not a prerequisite for AI adoption — it is the foundation of it.

Hyland’s Agentic AI framework is not a separate product layered on top of what you have built. It is an extension of the environment you already manage, designed to let the intelligence you have embedded in your OnBase configuration work harder, faster, and more autonomously than a traditional workflow ever could.

TechQuest 2026 offers two courses that make this concrete — not theoretical.

The Three Intelligent Services That Power Hyland AI

The course, Differentiating Knowledge Discovery, Enrichment & Agent Builder, addresses a question that practitioners often have after their first exposure to Hyland’s Content Innovation Cloud: what, exactly, do these services do, and how are they different from each other?

• Knowledge Enrichment curates and vectorizes content already in your OnBase repository, turning documents into searchable, AI-accessible data rather than static files.
• Knowledge Discovery surfaces information across the enterprise — regardless of where it lives — making it available to agents, users, and integrated applications.
• Agent Builder enables the creation of intelligent agents that assist users, automate tasks, and handle exception processing within Workflow and WorkView.

These are not separate products that require separate implementations. They operate within Hyland’s Enterprise Context Engine — the architecture that unifies content, processes, applications, and people across the organization — and they draw on the content structure you have already built in OnBase to do their work.

What ‘Agentic AI’ Actually Means Inside OnBase

The term AI gets applied to almost everything right now, which makes it nearly meaningless in a planning conversation. In the context of Hyland’s platform and the TechQuest courses that cover it, Agentic AI refers to a specific architecture: AI Agents configured through Agent Builder that integrate directly into existing Workflow lifecycles and WorkView applications to perform tasks, make decisions, and handle exceptions that previously required human intervention or rigid rule sets.

The course Making OnBase Think: Applying Agentic AI Across Workflow and WorkView walks practitioners through exactly how that integration works. You will understand when and why to apply AI within a lifecycle, how it complements — rather than replaces — the automation logic you have already built, and where AI agents fit most effectively within Workflow queue design and WorkView business logic.

This is hands-on configuration, not a vendor keynote. By the end of the session, participants have designed and integrated AI Agents into OnBase solutions in a guided lab environment.

Why Hyland Technology Professionals Are Best Positioned to Deploy This

The organizations that will realize the most value from Hyland’s Agentic AI capabilities are not the ones starting from scratch. They are the ones with mature OnBase, or other Hyland ECM environments, well-designed document type structures, and administrators who understand the business processes those environments support.

AI agents are only as good as the content they can reason about. An OnBase environment with consistent keyword schemas, clean document type hierarchies, and well-maintained workflow logic gives AI agents the structured foundation they need to perform reliably. The practitioners who built that environment are uniquely qualified to configure AI agents that extend it effectively.

That is the logic behind TechQuest’s approach to these sessions: the students are not beginners learning AI from the ground up. They are experienced practitioners learning to apply new capabilities to environments they already know.

What to Expect in the Sessions

Both courses are hands-on. Participants work through real configuration scenarios in a guided lab environment, building familiarity with Agent Builder, testing AI agent behavior within Workflow and WorkView, and exploring how Knowledge Enrichment and Discovery interact with OnBase content. No AI research background is required. Familiarity with OnBase Workflow and WorkView is expected.

TechQuest runs August 3–7, 2026. See the full agenda and register at university.hyland.com/techquest. 

Author note:AI was used to support research and drafting of this post; all content has been edited for accuracy and clarity.