From 12 months to 3 weeks: How Lindy’s engineering team accelerated development with n8n’s pre-built integrations

lindy-ai
Version of n8n used
n8n Embed
Time to deployment
3 weeks
Hours saved
1 year of engineering development

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Challenge

Lindy is an AI assistant designed to automate a wide range of tasks — medical scribing, customer support, executive assistance — from simple prompts. Imagine a team of AI employees working in unison to execute tasks requested by users, using custom data and taking actions within the most crucial apps.

To achieve this vision, Lindy needed to integrate a large network of apps and services to enable their AI assistants to perform tasks effectively.

The complexity and breadth of these integrations presented a significant challenge. Developing them from scratch would require extensive research, planning, and development time, and threatened to extend the timeline to a full year. This would have significantly delayed Lindy's market entry or reduced its portfolio of available tasks at launch.

Solution

Lindy choose n8n to overcome this challenge. n8n's embed license offered a comprehensive suite of integrations that Lindy could leverage without needing to engage directly with n8n's interface or run workflows themselves.

Under the guidance of Eugene Mankovski, Senior Engineering Manager at Lindy, the team began to seamlessly integrate n8n's offerings with Lindy's internal systems. This was accomplished through the development of special adapters designed to emulate human interactions within Lindy's AI core logic. These adapters allowed Lindy to treat n8n's integrations as if they were native components of Lindy's platform, facilitating a smooth and efficient integration process.

Results

Following the integration of n8n’s solutions into their system, Lindy saw the following benefits:

  • Rapid Deployment: Leveraging n8n's integrations, Lindy dramatically shortened the integration timeline from one year to just three weeks, facilitating a quicker launch and a broader range of operations available to users.
  • Cost Efficiency: This initiative saved hundreds of engineering hours, leading to considerable cost savings and enabling the Lindy team to focus on core product improvements rather than manual development of integrations.
  • Scalability and Flexibility: Lindy now has the capability to rapidly expand its AI assistant features, incorporating new integrations and services as required with minimal development effort.
"We've shortened the integration timeline from one year to just three weeks, with n8n's pre-built integrations"

n8n_image
Eugene Mankovski
Senior Engineering Manager