A B2B company increased qualified meetings by 250% with an autonomous lead qualification engine
The challenge
The sales team spent over 80% of their time on low-quality leads. Manual lead generation produced poor conversion rates and an unpredictable pipeline. The team was drowning in unqualified prospects, leaving almost no time for actual sales conversations.
What we built
We built an autonomous agent that monitors job boards and news sites to find companies matching the ideal customer profile. For each prospect, the agent enriches data, researches the company, and uses an AI model to draft and send hyper-personalised outreach emails. The agent monitors the inbox for replies and classifies intent as Positive Interest, Not Interested, or More Information Needed. Only leads classified as Positive Interest are created in the CRM as hot leads.
Results
The sales team shifted from spending 80% of their time on lead generation to spending 90% on closing. Meetings with genuinely interested prospects increased by 250%. The chaotic manual process was replaced with a predictable engine delivering consistent, high-quality leads. Revenue forecasting became accurate for the first time.
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