Going with the enterprise workflow: Domo launches Agent Catalyst as AI agents reshape 2025

AI agents are rapidly entering enterprise environments in 2025, with Domo’s newly launched Agent Catalyst joining offerings from Microsoft and Salesforce in enabling autonomous workflows. Despite their growing capabilities, these AI agents still require significant human collaboration to function effectively. Domo’s platform demonstrates the evolution of this technology while highlighting the importance of employee adoption, psychological safety, and data literacy for successful implementation.

The big picture: Domo has unveiled Agent Catalyst, an AI agent capability that allows enterprises to build end-to-end autonomous workflows that both analyze data and complete actions without human intervention.

• To promote adoption, Domo is offering to build customers’ “first agent free” for those who sign up at agentcatalyst.ai.
• This launch comes as major AI vendors like Microsoft (Copilot) and Salesforce (Agentforce) are introducing similar enterprise-focused agent offerings in 2025.

How it works: Users can create AI agents through a four-step process involving LLM selection, instruction setting, knowledge source provision, and tool assignment.

• The platform includes DomoGPT, a secure, platform-hosted language model that supports multiple LLMs.
• FileSets manage unstructured data like PDFs and images using Retrieval Augmented Generation (RAG) to provide better context for AI decision-making.
• A Semantic Layer helps AI understand business relationships and logic, while upcoming AI Assistant & Agent Builders will further simplify creation of AI-driven workflows.

The human element: Forrester’s research emphasizes that successful AI implementation depends heavily on employee willingness and ability to integrate these technologies into daily workflows.

• Building psychological safety and fostering trust are critical for smooth adoption of data and AI products within organizations.
• A positive digital employee experience—including access to appropriate tools, resources, training, and support—maximizes the benefits of AI agents.

Key considerations: Effective governance and literacy programs play crucial roles in responsible AI agent deployment.

• Data and communications governance ensures AI agents operate within frameworks promoting transparency, accountability, and security.
• Enhancing data and AI literacy across the organization empowers employees to make informed decisions and leverage AI technologies effectively.