When Decagon raised their Series B, they had five paying customers and a two-person revenue team. Eighteen months later, they had fifty customers and the same two-person team — running everything through Agent Ai.
The challenge
Decagon's GTM stack had grown organically. They were paying for and maintaining four different tools:
- A CRM that no one trusted
- A separate enrichment provider
- A routing tool that broke every other week
- A scheduling platform that didn't sync back to the CRM
"We were spending more time fixing data than acting on it," explains Jessie Lim, Head of Revenue Ops. "Every lead that came in had to be manually cleaned, enriched, routed, and scheduled. It was killing our conversion."
What changed
Decagon moved to Agent Ai in February 2024. The migration took three weeks.
Unified data
The first win was simply having one source of truth. "We finally trusted our pipeline numbers," says Lim. "That alone changed how the leadership team made decisions."
Agent-driven routing
Agent Ai's routing agent picks up where rules-based systems fall short. It learns from historical conversion data and routes leads to the AE most likely to close them.
Our SDRs stopped asking "who owns this lead?" because the answer was always already in Slack within 30 seconds of the form submission.
Automated meeting booking
Agent Ai's scheduling agent books meetings on behalf of AEs, with full context about the lead.
The results
- 73% reduction in average time from form submission to booked meeting
- 4 tools consolidated into 1 platform
- $340K saved annually in tool spend
- 10× pipeline growth without adding RevOps headcount
What's next
Decagon is now using Agent Ai's workflow builder to automate their renewal motion. "Same playbook," says Lim. "Replace the patchwork, trust the data, ship faster."
