Quo
The AI-powered phone system that brings calls, texts, and contacts together.
Updated 12d ago
Has API
PricingPaid
$19-$57/mo
Call Management
Text Messaging
Lead Qualification
Fin AI Agent by Intercom
4.5
Paid Users highly praise the lack of manual training required and the instant 'plug-and-play' nature, though some note the cost can scale quickly for high-volume B2C businesses.
The first AI agent that provides trustworthy, automated support for your customers with zero training required.
BusinessPaid pricingAPI availableUpdated 2026-03-17
Best fits
Automated customer support resolutionMulti-source knowledge ingestion
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About Fin AI Agent by Intercom
Fin is a sophisticated AI agent built on OpenAI's GPT-4o and Intercom's proprietary machine learning models, designed to revolutionize the customer service landscape by 2026. Architecturally, Fin utilizes Retrieval-Augmented Generation (RAG) to process a company's existing knowledge base, including external URLs, help centers, and PDFs, ensuring responses are grounded solely in verified data to minimize hallucinations. Unlike legacy chatbots, Fin requires zero manual training or complex decision-tree mapping. It functions as a core component of the Intercom AI Customer Service Platform, seamlessly bridging the gap between automated resolution and human intervention. By 2026, Fin has evolved to offer hyper-personalized support by accessing real-time customer data through robust API integrations. Its market position is defined by a unique outcome-based pricing model, where businesses only pay for successful resolutions. This shift from 'software-as-a-service' to 'results-as-a-service' positions Fin as a critical tool for enterprises seeking to scale support without proportional increases in headcount, maintaining a focus on high accuracy, enterprise-grade security, and multi-channel deployment across web, mobile, and social platforms.
Core Capabilities
Fin is a sophisticated AI agent built on OpenAI's GPT-4o and Intercom's proprietary machine learning models, designed to revolutionize the customer service landscape by 2026.
