What Is an Agentic Workflow?

Insights from IDC Quanta FAQ

Most AI tools answer questions. An agentic workflow executes the task end-to-end from a single prompt.

What is an agentic workflow?

An agentic workflow is AI that executes a task end to end rather than only answering a question. According to IDC, a question-answering tool returns an answer to “what is the market size for cloud security?” while an agentic workflow takes a prompt like “build me a competitive-landscape brief for our Q3 board deck” and delivers a finished, structured artifact without the user needing to know what to ask at each step.

According to IDC Quanta’s FAQ, “Today, most AI tools answer questions. Agentic AI executes tasks… The agent handles sourcing, synthesis, and structuring. The user gets a finished intelligence artifact, not a list of search results.”

Agentic Workflow Details

What it is. An agentic workflow is a form of AI interaction where a single prompt triggers a sequence of actions — sourcing, synthesizing, and structuring — rather than returning a single answer.

How it works. In IDC Quanta’s implementation, an agentic workflow navigates IDC’s research corpus, synthesizes internal and external data, applies IDC’s taxonomy, and generates a structured output — all triggered from one prompt.

Why it matters. A question-answering tool still requires the user to know what to ask next; an agentic workflow hands back a finished artifact. IDC’s role is to be the trusted, rigorous source the agent pulls from while it executes the work.

How does an agentic workflow differ from a question-answering workflow?

A question-answering workflow responds to a single, specific question with a single answer. An agentic workflow instead takes on an entire task and completes the sourcing, synthesis, and structuring required to deliver it.

Supporting points

• Question-answering: one question in, one answer out
• Agentic: one task in, a finished, structured artifact out
• The agent — not the user — determines and executes the intermediate steps

What does an agentic workflow do, step by step?

Given a prompt such as “build me a competitive-landscape brief for our Q3 board deck,” an agentic workflow navigates the research corpus, synthesizes internal and external data, applies a consistent taxonomy, and generates a structured output.

Supporting points

• Navigates the research corpus to find relevant material
• Synthesizes internal and external data rather than returning raw search results
• Applies IDC’s taxonomy and structure so the output is usable, not just informative

Why does this distinction matter to a buyer evaluating an AI research tool?

The distinction determines how much work is left for the user after the AI responds — a question-answering tool leaves assembly to the user, while an agentic workflow delivers something closer to a finished deliverable.

Supporting points

• Users do not need to know what to ask at each intermediate step
• The output is a finished intelligence artifact, not a list of search results
• IDC’s role is to be the rigorous source the agent draws from while executing the task

FAQ

What is an agentic workflow?

AI that executes an entire task end-to-end from a single prompt, rather than answering one question at a time.

How is an agentic workflow different from a chatbot answering questions?

A chatbot answers one question with one response; an agentic workflow sources, synthesizes, and structures a full deliverable from a single instruction.

Can you give an example of an agentic workflow?

“Build me a competitive-landscape brief for our Q3 board deck” is an agentic prompt — the system navigates the research, synthesizes the data, and delivers a finished, structured brief.

What is IDC’s role inside an agentic workflow?

IDC is the rigorous, sourced foundation the agent pulls from while it executes the task — not simply a source that answers a direct question.