Agentic Workflows
Multiple AI agents collaborating to complete complex tasks
What is Agentic Workflows?
Systems where multiple AI agents work together, each handling a specialized role, one researches, another writes, a third reviews. Unlike single-prompt interactions, agentic workflows chain decisions, delegate subtasks, and iterate autonomously. The shift from 'AI as a tool' to 'AI as a team' is the biggest structural change in how work gets done in 2025. If you're still using AI one prompt at a time, you're leaving 80% of its capability on the table.
How it works
Key takeaways
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Multiple specialized agents collaborate
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An orchestrator coordinates the workflow
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Each agent has a focused role and toolset
Real-world example
A research agent gathers data, a writing agent drafts the report, and a reviewer agent checks for accuracy. An orchestrator routes tasks between them. The output is higher quality than any single agent could produce alone.
