Subagents for parallel, multi-step AI workflows

Give your agents the power to delegate


Previously, agents could use any of the tools assigned to them, but every tool ran within a single context. For complex workflows that required pulling data from multiple sources, this meant long chains of sequential calls—and a growing context window that could dilute the quality of results.

Now, Bigmind's agent builder lets you create subagents by simply grouping tools together. The parent agent intelligently delegates work to these subagents and can run them in parallel—researching and summarizing simultaneously rather than step by step. Each subagent operates in its own focused context, keeping results sharp and relevant.

Examples of what you can build:

CRM Research – Group your CRM tools into a subagent that deep-dives into account, deal, and contact data in one pass.

Online Enrichment – Bundle enrichment tools so the agent can research companies, funding, and technographics in parallel.

Sales Enablement Search – Combine tools that access your Confluence, Notion, website, and Bigmind library into a single knowledge-retrieval subagent.

The result: faster, more accurate responses and the ability to orchestrate complex multi-step workflows—all without writing a single line of code.

featureaiagentssubagentsworkflowsproductivity