Case Study: Retell Keeps AI Phone Agents Answering from Live Documentation with Firecrawl

Retell powers 40,000+ knowledge bases with Firecrawl

Retell, a leading AI voice agent platform, faced the challenge of keeping its AI phone agents' knowledge bases current with customer documentation. Maintaining bespoke scrapers for each client's JavaScript-heavy docs portals and help centers was costly and fragile, leading to potential inaccuracies during critical business calls. To solve this, they implemented Firecrawl's web data API, specifically using its /scrape endpoint.

By using Firecrawl, Retell replaced its custom scraping infrastructure with a standardized pipeline. The solution ingests URLs and turns them into LLM-ready content, handling complex rendering and pagination automatically. This allowed Retell to transform customer documentation into accurate, up-to-date knowledge bases without writing new scrapers, resulting in more reliable phone agents and a significantly streamlined ingestion process treated as configuration rather than an engineering project.

Retell