How Qualified automated BDR work with 35+ Relevance AI agents
Qualified, a marketing software company, built more than 35 specialized agents on Relevance AI to handle business development work its ops manager once did by hand. Relevance AI reports pipeline and closed revenue over six months.
The problem
Manual business development work was hard to scale. The company's AI GTM operations manager, who had done BDR work himself for two years, doubted it could be automated well.
How they did it
- Evaluated 60 different vendors before choosing Relevance AI.
- Turned a set of 40-50 BDR tasks into an agent in about one week.
- Trained the agents on Qualified's own processes rather than generic workflows.
- Expanded to 35+ agents across the organization.
Results
- Relevance AI reports a 10x increase in output.
- $7 million in pipeline and $500,000 in closed revenue over six months.
- In one afternoon, the agents handled three meeting bookings with no human involvement.
As reported by the source (Relevance AI customer story); AgentGid did not measure these figures.
This suits a mid-size or larger GTM team with an ops owner who knows the BDR tasks well enough to document them, plus time to build and tune dozens of agents. Relevance AI shows only an Enterprise plan with "Talk to sales," so budget is unclear upfront, and the 10x output, pipeline, and revenue figures are vendor-reported. Dify is open-source and listed as Free if you'd rather prototype first.
The agent used here
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