A B2B SaaS client replaced a two-person SDR team manually qualifying inbound leads costing $6,800/month with a three-node LangGraph lead-qualification workflow. The AI system runs unattended, scoring and routing leads within 60 seconds, deployed on a $2,200/month retainer with 91% margin after API costs. The founder never questioned the technology once, focusing only on lead flow. This use case exemplifies multi-step AI agent orchestration replacing a recurring staff cost with measurable cost reduction and high client retention.
Use Case
Opening the operator briefing
Pulling the full operator breakdown, tooling context, and verification notes.
