AI agents are hitting the mainstream in 2025 as major AI vendors launch offerings aimed at enterprise clients (e.g., Microsoft Copilot, Salesforce Agentforce). These AI agents enable enterprises to build end-to-end autonomous workflows that can both analyze data and provide answers, as well as complete actions without human intervention.

 

Domo unveiled its AI agent capability — Agent Catalyst — last week at Domopalooza 2025. To celebrate the release of Agent Catalyst, Domo is offering to build customers’ first agent for free upon signing up at agentcatalyst.ai. Users can build agents through a four-step process: selecting a large language model (LLM), giving instructions, providing knowledge sources, and assigning tools. Key enhancements include:

  • DomoGPT, a secure, platform-hosted language model supporting multiple LLMs.
  • FileSets, which manages unstructured data such as PDFs and images using retrieval-augmented generation for better AI context.
  • A semantic layer to help AI understand business relationships and logic.
  • An upcoming AI assistant and AI agent builders to simplify the creation of AI-driven workflows.

Agents Still Need Human Cooperation

While agents are powerful and rapidly improving, they are not (yet) a replacement for humans in many situations, and their effectiveness hinges on several important factors involving the people behind the screen:

  • Successful AI implementation hinges on the willingness and ability of employees to adopt and integrate these technologies into their daily workflows.
  • Forrester’s research highlights the importance of building psychological safety and fostering a culture of trust and collaboration to ensure smooth adoption of data and AI products.
  • A positive digital employee experience is essential for maximizing the benefits of AI agents. This includes giving employees access to the right tools and resources as well as providing ongoing training and support.
  • Effective data and communications governance is critical for ensuring that AI agents operate within a framework that promotes transparency, accountability, and security.
  • Enhancing data and AI literacy within the organization is key to empowering employees to make informed decisions and leverage AI technologies effectively.

For more insights and guidance on AI adoption, digital employee experience, data governance, and data literacy, Forrester clients can refer to our comprehensive research reports and schedule guidance sessions with us here: inquiry@forrester.com