Agentic Workflow
A workflow driven by large language models with a degree of autonomous decision-making and tool-calling capability: the model can select external tools according to goals, decompose subtasks and pass state between multiple steps. It is more flexible than fixed orchestration pipelines, but its behavioral boundaries are harder to predict and it requires approval and guardrail mechanisms.
Timeline (last 90 days)
Managing 24 agentic workflows is very difficult, and even with AI assistance, multitasking still leaves people exhausted.
Growth in the number of workflows brings increasing management entropy, and 24 workflows is already the management ceiling for a small team, requiring the introduction of approval and boundary management tools.
In agentic workflows, the traditional 'human in the loop at every step' safety model no longer holds, and risk expands from syntax errors to the entire system.
In Agentic systems, because execution paths are dynamically generated, errors tend to cascade and amplify across multi-step chains, and without an Evals mechanism it is difficult to pinpoint bottlenecks at the system level.
Agentic workflows are used to build customer support agents, write in-depth research reports, process legal documents, and analyze patient input to provide medical diagnosis recommendations.
The biggest difference between people who are good at building agentic workflows and those who are less efficient is the ability to 'drive' them.
All Facts (6)
Agentic workflows are used to build customer support agents, write in-depth research reports, process legal documents, and analyze patient input to provide medical diagnosis recommendations.
60%UnverifiedManaging 24 agentic workflows is very difficult, and even with AI assistance, multitasking still leaves people exhausted.
50%UnverifiedGrowth in the number of workflows brings increasing management entropy, and 24 workflows is already the management ceiling for a small team, requiring the introduction of approval and boundary management tools.
50%UnverifiedIn agentic workflows, the traditional 'human in the loop at every step' safety model no longer holds, and risk expands from syntax errors to the entire system.
50%UnverifiedIn Agentic systems, because execution paths are dynamically generated, errors tend to cascade and amplify across multi-step chains, and without an Evals mechanism it is difficult to pinpoint bottlenecks at the system level.
50%UnverifiedThe biggest difference between people who are good at building agentic workflows and those who are less efficient is the ability to 'drive' them.
50%