Multi-Agent System for Lead Qualification & Content
Built a 3-agent system: research agent, qualifier agent, and content agent. Reduced time-to-close by 35%.
† Figures marked † are internal estimates pending verification. We will replace them with audited numbers or remove them.
The problem
Inbound leads sat unqualified while sales researched each one by hand. Content production was bottlenecked on the same small team.
Generic chatbots had been tried and abandoned; the work needed agents that could use tools and write into the actual CRM.
What we built
Research agent
Pulls company and contact context for every inbound lead and writes a summary into the CRM record.
Qualifier agent
Scores intent against the ICP, routes qualified leads to sales, and nurtures the rest.
Content agent
Brief-to-draft pipeline with a human review gate before anything publishes.
Stack
Timeline
- 01Week 1
Audit
Map current workflow, data sources, and failure points. Agree on the metric that defines success.
- 02Weeks 2–3
Build
Integrations, agents or tracking built against the real stack, tested with real data.
- 03Week 4
Deploy
Production cut-over with monitoring, alerting, and a written runbook.
Have a similar problem?
Thirty minutes. We'll tell you whether this approach fits your stack and what the first build would be.