The 6 Kinds of AI Agent Architectures
CIO, Monday, July 20th, 2026
CIOs should recognize six distinct AI agent architecture patterns to match solutions to business problems.
Bernard Aceituno identifies six AI agent archetypes that appear in enterprise deployments: conversational assistants for real-time Q&A, triggered workflows for automated processes, autonomous agents for complex research, multi-agent teams for specialized coordination, human-in-the-loop systems that balance automation with oversight, and scheduled agents for recurring tasks.
The article emphasizes choosing an architecture based on operational need rather than pursuing full automation for its own sake. Matching pattern to problem produces better adoption, governance and trust outcomes.