What does a multi-agent workflow look like for a marketing team?

A multi-agent workflow is a series of connected AI agents, each configured for a specific task, that execute in order to complete a larger objective. The output from one agent becomes the input for the next. You can insert human review steps at critical points where a team member needs to approve before the workflow continues.

For a marketing team, a content creation workflow might chain four agents together. A research agent pulls information from competitor URLs and identifies content gaps. An analysis agent takes that research and surfaces themes, messaging angles, and opportunities. A writing agent produces a draft based on the analysis. An optimization agent reviews the draft against SEO guidelines or brand standards. Each agent has focused instructions and access only to the tools and knowledge bases it needs for its step.

Marketing teams apply this pattern to competitive intelligence reports, campaign performance analysis, ABM content personalization, and case study generation. The approach works because each agent stays focused on one job rather than juggling multiple objectives in a single conversation. The tradeoff is setup time: building a multi-agent workflow takes more upfront effort than prompting a single agent. But once built, the workflow runs consistently and can be scheduled to execute automatically, making it worthwhile for repeatable processes your team runs weekly or monthly.

In Brazenly, you build multi-agent workflows using the Workflow Builder. You create each agent separately, then connect them on a visual canvas. The platform manages execution order and data handoff between steps automatically.