How Hyland’s AI Agents Turn Unstructured Data into Actionable Insights

In today’s data-driven world, businesses are drowning in unstructured content—documents, emails, and forms that are difficult to manage and even harder to leverage. According to Hyland, 80% of enterprise data is unstructured, leading to inefficiencies across industries. Nurses and physicians waste 33–46% of their time on administrative tasks, while insurance professionals spend over 25% on low-value work.

Hyland’s solution? AI-powered, human-designed agents that automate repetitive processes while keeping humans in the loop. In today’s webinar, Hyland product managers Lars Alvater and Tiago Cardoso showcased how these intelligent agents are transforming workflows—from healthcare claims to financial compliance.

What Are AI Agents?

Hyland’s AI agents are goal-driven, autonomous systems that can:

• Understand and analyze unstructured content.
• Make decisions based on predefined rules.
• Learn and adapt over time.
• Integrate seamlessly with existing workflows (like OnBase or third-party apps).

Unlike basic chatbots, these agents operate on a spectrum of autonomy:

• Task Agents automate fixed sequences (e.g., extracting data from forms).
• Enterprise Agents handle end-to-end workflows, such as denied claims processing or employee onboarding.

Real-World Impact: The Denied Claims Example

One standout use case was healthcare denied claims review—a traditionally slow, manual process. Hyland’s AI agent:

1. Summarizes denial letters.
2. Identifies reasons for rejection.
3. Recommends next steps (e.g., appeal or route for further review).

For a hospital processing 5,000–7,000 denials annually, this cuts review time from weeks to hours, saving hundreds of work hours.

Building Your Own AI Agent

Hyland’s Agent Builder lets businesses create custom AI solutions without coding:

1. Define the use case (e.g., “Eligibility Compliance Checker”).
2. Input decision criteria in natural language.
3. Test and deploy within existing systems (OnBase, Alfresco, etc.).

The platform also offers a library of pre-built agents for common scenarios, accelerating implementation.

Start Small, Win Fast

Hyland’s advice? Begin with a single, high-pain process, such as:

• Document triage (flagging missing info).
• Policy compliance checks.
• Automated data extraction.

These low-risk, high-reward projects demonstrate quick ROI and pave the way for broader AI adoption.

The Future of Workflow Automation

AI isn’t magic—it’s a tool to augment human effort. By starting small, businesses can turn unstructured data into actionable insights, freeing teams to focus on what matters most.

“There’s no telling what you’ll find until you turn the knob,” Hyland’s team remarked. The door to AI-powered efficiency is open—will you step through?