Hyland Agent Builder

AI agents that scale technical expertise – without a single line of code.

Low-code platform for enterprise AI agents

Imagine your organization has a team of intelligent, tireless assistants – each trained to complete complex, document-heavy tasks accurately and quickly. That’s exactly what Hyland Agent Builder makes possible: A low-code platform that allows business departments and process owners to independently develop AI agents that think, plan and act like experts – without any coding knowledge.

Advantages of using the Hyland Agent Builder

Relieving the burden on IT: specialist departments create and control AI agents independently

Intelligent automation: AI agents understand content and business context

Support for complex workflows by orchestrating multiple agents

Scalability: AI agents take on routine and specialized tasks on a large scale

Integration into existing systems and processes

Continuous improvement through feedback and target metrics

Cost control through flexible use of different LLM providers

Integration & areas of application

Repetitive, document-heavy tasks – such as in claims processes, onboarding or compliance checks – can be reliably automated. Intelligent content summaries, automatic routing and precise response suggestions speed up the processing of inquiries. Expert knowledge is retained in the long term and can be used in a scalable manner despite staff turnover or retirement. Rule-based and traceable agents also support compliance and auditing. Thanks to the low-code approach, automation solutions can be quickly adapted and easily expanded.

Technologies & Architecture

No-Code Agent Creation

Business users and subject matter experts create enterprise agents without programming

Human-in-the-loop

Integrated human control: decisions and validations are prepared and can be checked

Deep integration

Seamless connection with Hyland's Content Innovation Cloud, Automate and existing content management systems

Reusability

Agents are modular, can be used multiple times and can be combined

Content awareness

Agents work natively with company content and understand context

Security & Governance

Transfer of authorizations, compliance and security rules from the company

Process orientation

Agents automate end-to-end processes, analyze data and generate metadata

No-Code Agent Creation

Business users and subject matter experts create enterprise agents without programming

Human-in-the-loop

Integrated human control: decisions and validations are prepared and can be checked

Deep integration

Seamless connection with Hyland's Content Innovation Cloud, Automate and existing content management systems

Reusability

Agents are modular, can be used multiple times and can be combined

Content awareness

Agents work natively with company content and understand context

Security & Governance

Transfer of authorizations, compliance and security rules from the company

Process orientation

Agents automate end-to-end processes, analyze data and generate metadata

Use cases for Agent Builder

Automation of document-heavy tasks

(e.g. insurance claims, document summaries, policy decisions)

Intake and triage of unstructured content

such as e-mails, PDFs or scanned forms

Automation of workflows

that previously required manual checking or data entry

Preservation and scaling

of expert knowledge through virtual agents

Compliance and audit support

through rule-based, traceable agents

This allows you to increase the degree of automation and expand your organization's scope for action

Analysis of suitable fields of application for AI in DMS and workflows

Development and training of recognition and decision models

Integration of AI agents and decision automation into existing processes

Optimization and monitoring of running models

Training and empowering your teams

Implementing AI agents with it-novum

We integrate AI components into existing process and document landscapes in a targeted manner – always with a focus on practical applicability and measurable added value.

Combining process knowledge with technological expertise in AI, workflow and document management

Integrate AI where it creates real added value - not as an end in itself

Open, expandable architectures instead of closed systems

Support from the idea to productive operation

Drei Open Source Workflow Engines im Vergleich

Welche Engine passt zu Ihrem Anwendungsfall: Activiti, Camunda, Flowable

Stehen Sie vor der Herausforderung, die richtige Technologie für Ihre Prozessautomatisierung zu wählen? Feature-Listen allein helfen hier selten weiter – entscheidend ist Ihr konkreter Anwendungsfall.

Im Webinar am 05. März 2026, 10:00 – 10:45 Uhr

präsentieren wir Ihnen ein praxisnahes Entscheidungsmodell, mit dem Sie:

  • Open-Source-Engines systematisch einordnen,
  • teure Fehlentscheidungen und Architekturfehler vermeiden
  • und die drei Technologien Activiti, Camunda und Flowable fundiert vergleichen können.