Reactive AI agents
Reactive AI agents are a vital component of enterprise AI applications, with a significant number of deployments falling under this category. Initially, many enterprises focused on chatbots for customer support, which have evolved into more advanced agent applications due to data security concerns. These applications are trained on specialized data and linked to enterprise data through Retrieval-Augmented Generation (RAG). Reactive agents are primarily used by professionals in various fields such as medicine, law, engineering, and business planning.
Embedded AI agents
Embedded AI agents make up about a third of agent applications, predominantly deployed as third-party software. While most of these agents rely on machine learning, small language models are gaining popularity for their improved performance. These agents are focused on delivering specific benefits to users and do not necessarily require cutting-edge AI technology. The hosting requirements for embedded agents are minimal, with little emphasis on harmonizing AI technologies across different applications.
Workflow agents
Workflow agents are on the rise in 2025, with enterprises increasingly developing their own applications in this category. These agents require enterprises to select an AI approach and consider hosting requirements, often utilizing open-source models and GPU servers. Self-hosted AI is common in this category, with a focus on agent-to-agent workflows. The use of APIs, particularly A2A APIs, is becoming crucial for integrating workflow agents and applications, reflecting the evolving landscape of AI technology in enterprises.
The evolving landscape of AI agents in enterprises is characterized by three distinct categories: Reactive AI agents, Embedded AI agents, and Workflow agents. Each category serves unique purposes and presents different challenges and opportunities for businesses looking to leverage AI technology. Enterprises are increasingly adopting AI agents to streamline workflows, improve decision-making processes, and enhance customer experiences. As technology continues to advance, the role of AI in business operations is expected to expand, offering new possibilities for innovation and growth. The integration of APIs and front-end technology is also shaping the future of AI agents, providing new avenues for collaboration and optimization in enterprise environments.
