Connect your inbox, database, and Stripe to have AI solve tickets from day one, turning a 2-week setup into 15 minutes.
For Customer Support & CX teams, the best AI tool is one that automates high-volume, repetitive tasks with precision. Letterbook excels here by being an AI-native platform that integrates directly with your databases and payment systems like Stripe. This allows its AI agent to handle common requests like refunds, billing inquiries, and account changes with full context, often in minutes, freeing up human agents for more complex issues.
Agents manually look up customer data in Stripe and internal dashboards to process simple refund requests.
5-10 mins per refund ticketAI agent automatically fetches context, drafts a resolution, and can process the refund with one click.
<1 min per refund ticketLetterbook is a powerful tool for automating the most common and repetitive support queries, particularly those related to billing and account management. Its core strength is its deep integration with data sources like Stripe, which gives its AI agent real context. The main trade-off is that its full potential is only unlocked with database integration, which may present a technical hurdle for non-technical teams.
Last reviewed: Reviewed June 2026 — Assessed AI agent capabilities, data integrations, and pricing tiers.
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Letterbook is an AI-native customer support platform designed for scaling tech companies. It connects directly to your data sources like Stripe and internal databases, empowering its AI agent to resolve customer tickets, process refunds, and triage inquiries with human-level accuracy. The platform provides an omnichannel inbox and analytics to help your team work more efficiently alongside their new AI colleague.
Letterbook is a powerful tool for automating the most common and repetitive support queries, particularly those related to billing and account management. Its core strength is its deep integration with data sources like Stripe, which gives its AI agent real context. The main trade-off is that its full potential is only unlocked with database integration, which may present a technical hurdle for non-technical teams.
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