Fin is an AI agent for customer service designed to be fast to set up and easy to configure. It can train on help centers, websites, PDFs, and connect to Notion, Confluence, Box, and more. It aims to optimize over time with guidance, procedures, and integrations so Fin can read and write to systems and surface AI-powered insights and QA. The tool emphasizes quick setup and team-wide configurability to improve customer experiences across channels.
Fin operates across multiple channels including chat, email, voice, social, Slack, and API, ensuring consistent experience wherever customers engage. It supports reading and writing in connected systems and hands off unresolved issues to native helpdesks. The platform highlights a managed go-live process and ongoing optimization through simulations and evaluations, focusing on improving resolution rates over time.
The Fin platform centers on improving resolution rates and CX outcomes, with features like memory of past conversations, reasoning for actions, and a dedicated operations agent that suggests improvements and can implement changes with permission. It emphasizes a memory across channels and a loop of training, testing, deploying, and analyzing to continually lift performance.
It presents different Fin flavors for service, sales, ecommerce, and success, and notes interoperability with major helpdesks and integration readiness for teams already using existing workflows and tools.
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