An agentic workflow is a multi-step process where AI agents understand goals, plan tasks, use tools, review outputs and hand work to other agents.
Agentic workflows connect AI, tools, data and human control into productive operations.
Definition is a search and decision topic for companies that want to treat agentic AI as a productive capability, not an experiment. Clear definitions, concrete use cases, governance and measurable outcomes matter.
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Typical scenarios include research, data analysis, content creation, proposal preparation, meeting follow-up, document creation and process coordination. The key is that agents do not work in isolation, but inside an orchestrated workspace.
Compared with traditional tools, agentic AI is goal-oriented. Instead of answering a single prompt, the system plans steps, uses tools and synthesizes results. The work mode resembles a team more than a single tool.
mAItflow implements this as a European agentic AI workspace: with Sage as orchestrator, specialized agents, multi-model capability, GDPR-oriented data hosting and traceable workflows.