Lead processing · Production
Brickell Digital lifts qualified-lead volume by over 80% with CrewAI autonomous agent
The problem
Brickell Digital relied almost entirely on referrals and had no repeatable method to discover and qualify new business, leaving its small sales team unable to scale prospecting with the company's growth ambitions.
Workflow diagram · grounded in source
1
Scrape prospect data sources
integration
“scrapes fundraising databases and VC networks”
2
Score against ideal customer profile
ai_action
“scores prospects against an ideal customer profile”
3
Generate sales call insights
output
“generates design‑audit insights plus competitive analyses for sales calls”
Reported outcome
The autonomous agent lifted qualified-lead volume by over 80%, improved close rates through richer call preparation, and freed the sales team to focus on high-value conversations, supporting overall growth from three to fourteen employees.
Reported metrics
Qualified lead volumeover 80%
Close ratesimproved close rates
Employee headcount growththree to fourteen employees
Reported stack
CrewAI
Source
https://www.crewai.com/case-studies/brickell-digital-scales-lead-gen-using-agents
Read source ↗Frequently asked questions
What did this team achieve with this AI workflow?
The autonomous agent lifted qualified-lead volume by over 80%, improved close rates through richer call preparation, and freed the sales team to focus on high-value conversations, supporting overall growth from three…
What tools did this team use?
CrewAI.
What results were reported?
Qualified lead volume: over 80%; Close rates: improved close rates; Employee headcount growth: three to fourteen employees (source-reported, not independently verified).
How is this lead processing AI workflow structured?
Scrape prospect data sources → Score against ideal customer profile → Generate sales call insights.