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A free trial is available and no credit card is required to start, per the homepage.
Learn moreAI support and sales agents trained on your own content

Wonderchat builds retrieval-grounded AI agents for customer support and sales, trained on help centers, docs and past tickets, with source citations in every reply, inline lead capture and CRM sync.
Wonderchat is a platform for building AI agents that handle two jobs at once: deflecting repetitive customer service questions and qualifying website visitors into sales leads. The agent is trained on material you already own, such as help center articles, documentation and past support tickets, and it cites the source behind every answer instead of generating an ungrounded guess. Setup is advertised as taking about five minutes, and the product is aimed at SaaS, industrial, healthcare and e-commerce teams where an incorrect answer carries real cost. The retrieval layer is the core of the product. Connected content is searched, the response is grounded in that material, and a separate QA agent flags weak answers so a team member can correct them in one click. That review loop is what separates Wonderchat from a generic chatbot widget: the knowledge base becomes the accuracy ceiling, and the agent is meant to improve as it is corrected. The same agent serves both the support and sales roles, which means one knowledge base covers FAQ automation, pre-sales product questions and escalation to a human when the bot is unsure. In practice the sales side goes beyond answering. The agent answers buying questions, captures contact details inline without redirecting to a separate form, books demos and routes leads by intent before syncing them to a CRM. The support side handles FAQs, product questions and handoffs, and the agent can be deployed on a website, a mobile app, WhatsApp or SMS, running continuously and in multiple languages. Published figures cite over 500 onboarded teams, more than 2 million tickets resolved and a resolution rate above 70 percent. Pricing departs from the per-resolution model common among competitors: Wonderchat bills a predictable monthly plan with a resolution allowance rather than metering every conversation. That favors teams anticipating volume growth. Buyers evaluating Intercom Fin, Zendesk AI or standalone RAG chatbot builders should weigh the fixed-plan economics against the accuracy ceiling imposed by their own documentation.
A free trial is available and no credit card is required to start, per the homepage.
Learn moreBilling is a flat monthly plan with a resolution allowance rather than a charge per conversation, a deliberate contrast to per-resolution models. Plan tiers and prices are not listed on the homepage; the pricing page and FAQ cover credits and overage behavior.
Learn moreSupport runs through a bookable demo and a public FAQ; the homepage does not describe support channels or SLAs in detail.
Help desk content feeds the agent and CRM systems receive captured leads, with HubSpot, Zendesk, Salesforce, Microsoft Teams and SharePoint named in the FAQ.
Learn moreTwo agent modes share one content base: a support agent that deflects FAQs, answers product questions and hands off to humans, and a sales agent that answers pre-sales questions, captures leads inline, books demos and routes by intent. Every reply cites its source, a QA agent flags weak answers for one-click fixes, and deployment spans website, mobile app, WhatsApp and SMS in multiple languages.
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