Question from Reddit user:
Hi, I would like to know if there is a possibility of using Lindy.ai as an AI agent to automate leads to PipeDrive CRM?
i would appreciate any advice
Answer from Nabil:
The short answer is:
Yes, absolutely, it is possible and highly recommended to use an AI agent like Lindy.ai to automate and enrich leads in Pipedrive CRM.
You have two primary integration options: use a direct no-code automation platform like Zapier or Make, or build a custom, more robust connection using Pipedrive’s API and Lindy’s own API features.
The AI agent acts as a powerful middleware, not just passing data but actively qualifying, enriching, and updating lead and deal information in Pipedrive, far beyond what simple form submissions can do.
The long answer is:
The integration between an AI agent and a CRM like Pipedrive is a cutting-edge approach to sales automation.
Since Lindy.ai is designed to be CRM-agnostic and specializes in creating AI agents to automate entire workflows, the connection to Pipedrive is fully supported.
If you want a quick, no-code solution, you can use middleware tools like Zapier or Make.
You would set up a trigger for a new lead or contact in Pipedrive, which sends the data to your Lindy agent.
The agent then performs its AI task – for instance, summarizing an email chain, enriching the lead with public data, or calculating a qualification score – and then sends the updated data back to Pipedrive to update the deal or create a follow-up activity.
However, for the most powerful and flexible integration, you want to use the API-centric solution.
This involves creating a custom integration using the Pipedrive API and Lindy’s ability to call external APIs.
Lindy supports over 3,000 integrations out of the box, but crucially, it has an HTTP Fetch action for custom API connections.
This action allows your Lindy agent to send specific POST, PUT, or GET requests directly to the Pipedrive API endpoints, giving you total control over how data is created or updated in Pipedrive.
For example, a lead comes in, triggers your Lindy agent, the agent uses its internal logic to score and enrich the lead, and then uses the HTTP Fetch action to call the Pipedrive API’s “Create a Person” endpoint with the enriched data.
To make this entire process highly scalable, you would leverage Google Tag Manager and a server-side setup like Stape or Google Cloud Platform to manage your initial lead input.
This setup ensures that your lead data is captured cleanly and immediately sent as a webhook to trigger the Lindy agent.
By combining the Lindy.ai API (via its custom HTTP action) with the Pipedrive API, you establish a direct, automated, and intelligent communication layer between your AI agent and your CRM, making your lead automation process far more powerful and reliable than using simple, fixed-logic integration platforms.