How Lindy Uses Claude to Power AI Agents That Deliver 10x Customer Growth
Lindy's AI agent platform is built on Claude, enabling 10x customer growth, 72% reduction in time-to-qualified-lead, and handling 70%+ of routine support tickets.
Impact
10x
Customer growth
72%
Time-to-qualified-lead reduction
70%+
Routine support tickets handled automatically
40+
Prospect meetings booked monthly
3–5x
Productivity gains
Challenge
Needed a reliable AI model for complex agentic tasks: navigating ambiguity, executing nested tool calls, and handling business-critical calendar and data workflows.
Solution
Built the Lindy agent platform on Claude as the default model, leveraging its superior performance on complex reasoning, tool calls, and ambiguous real-world workflows.
Tools & Technologies
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Full Story
Lindy builds AI agents that work alongside human teams—handling sales outreach, customer support, calendar scheduling, and knowledge work. Choosing the right underlying AI model was existential: a poor choice would mean unreliable agents, lost customers, and broken workflows.
The team ran rigorous model evaluations focused on real-world use cases: navigating ambiguity in large contexts, executing complex tool calls, and handling deeply nested data structures with nuanced reasoning. Claude consistently outperformed alternatives.
With Claude as the default model for nearly all agent calls, Lindy built a platform where almost no customer overrides the default—a rare signal of genuine model trust. The results speak for themselves: 10x customer growth since implementing Claude, a 72% reduction in time-to-qualified-lead for sales teams using Lindy agents, and over 70% of routine support tickets handled automatically.
Sales agents now book 40+ prospect meetings monthly while human reps focus on high-value conversations. Support teams deliver 3–5x productivity gains across workflows.
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