Tori

Tori is an AI support agent built by TalkJS for customer success teams. It learns a product in depth from content the company already has, including help centers, documentation, product pages, and company knowledge, and then delivers accurate answers to even the most complex customer questions. Tori runs in a help center, inside an app, or on a website through a chat interface that can be fully customized. Setup is presented as a matter of minutes: connect a URL, let Tori learn the product content, and embed the chat UI. Rather than replacing the support team, Tori works alongside it, answering what it knows and escalating what it does not. Customer success and support teams often hold product knowledge across scattered support content, while customers expect clear answers in the moment. A support queue makes customers wait, and when a conversation finally reaches a human, customers may have to repeat information they already shared. Tori is designed around a different approach: bring scattered support content into one dependable knowledge layer, use it to answer questions instantly, and hand off to a person only when human help is needed. The product explicitly positions accuracy as a priority, flagging uncertainty instead of filling gaps when confidence runs low. That matters because an answer that sounds confident but is wrong can damage customer trust. The first part of Tori's approach is knowledge. Teams connect their help center, docs, or product site by pasting a URL. From there, Tori learns the product, turning existing product content into grounded knowledge. The setup flow shows help content, website pages, guides, and updates being learned, along with a sitemap that stays up to date. The result is described as one source of truth: scattered support content is brought into a single dependable knowledge layer for every conversation. Because answers are grounded in the content the company already has, Tori can address complex product questions using the same material the support team relies on. Tori also stays in sync and can run in a help center, app, or website, so the knowledge behind the conversation is connected to the places customers already look for help. Tori does not simply return raw documentation. It first identifies what each customer needs and brings the right product context into the conversation. It then responds in your voice, using your tone, guidance, and rules so that every answer stays aligned with how your team supports customers. Customers receive clear, sourced answers in the moment without waiting in a support queue. Accuracy is handled with explicit boundaries: Tori knows its limits, flags uncertainty instead of filling gaps, and brings in your team when confidence runs low. This combination of grounded knowledge, brand-aligned responses, and visible uncertainty is central to the product's promise of accurate AI support rather than plausible-sounding guesses. When a customer needs a human, Tori escalates seamlessly. The conversation is passed to the team with context intact, and agents get the conversation and sources ready to continue without making customers repeat themselves. That handoff is a core part of the design: Tori answers what it knows and escalates what it does not. The experience is also customizable. Built on TalkJS, Tori lets teams shape the interface and behavior to match their product. They can use the ready-made chat UI, customize the experience, or connect Tori through the API, and they can embed the chat UI in docs, an app, or a website. This flexibility means the support agent can fit the surfaces where customers already interact with the product. Under the hood, Tori is built on TalkJS, which provides production-grade messaging, real-time delivery, and full conversation history as standard. TalkJS is described as the same infrastructure powering millions of real conversations across the web. That foundation supports the overall workflow: Tori understands the question, responds in your voice, answers instantly with sourced information, and escalates seamlessly when human help is needed. In practical terms, the product combines a grounded knowledge layer learned from existing content with a customizable chat interface and a context-preserving handoff to the support team. The stated result is support that never clocks out, delivered through infrastructure built for real conversations rather than a standalone answer box. For customers, the benefit is immediate help: clear, sourced answers in the moment instead of waiting in a support queue. For support teams, Tori keeps responses aligned with their tone, guidance, and rules, and it avoids filling gaps when it is uncertain, reducing the risk of inaccurate answers. When escalation is necessary, agents receive the conversation and its sources, so they can continue without asking customers to repeat themselves. Teams also gain control over the experience: they can customize the interface and behavior, embed it in their docs, app, or website, or connect through the API. Security features such as SSO, data controls, encrypted data, GDPR-ready controls, and ISO 27001 certified TalkJS infrastructure support the trust side of customer support. Tori fits several concrete support workflows. In a help center, it can answer complex questions using the documentation and guides the team has already published, giving customers a self-service path before they open a ticket. Inside an app, the embedded chat UI can identify what a customer needs, bring in the right product context, and answer instantly. On a website, Tori can use product pages as grounded knowledge and respond in the company's voice. For complex product questions, it can provide sourced answers and flag uncertainty when confidence is low. When a conversation requires a person, Tori hands it to the team with the conversation and sources attached, so the human agent can continue without a restart. This makes Tori relevant for teams that want instant first-line support while keeping human help available for the cases that need it. Tori is aimed at customer success and support teams that need accurate answers without compromising customer trust. It is built for teams that already have help docs, product pages, and company knowledge to draw from, and for organizations that want the agent to run in a help center, app, or website. The product is made by TalkJS and uses TalkJS infrastructure, with SSO, data controls, encryption, GDPR-ready controls, and ISO 27001 certification. Pricing starts with a free Trial plan with no time limit, up to 50 AI responses per month, one seat, and one agent. Basic is $35 per month for 300 AI responses, two seats, and one agent. Standard is $140 per month for 1,400 AI responses, three seats, and three agents, marked as best value. Growth is $550 per month for 6,000 AI responses, seven seats, and five agents. Enterprise is a custom plan based on team and support needs. Customers choose a plan when they sign up. Tori's core value proposition is straightforward: learn the product from the content a team already has, answer complex customer questions accurately and in the team's voice, and escalate to a human with full context when needed. By combining grounded knowledge, customizable chat, TalkJS messaging infrastructure, and enterprise-grade security controls, Tori offers customer success teams an AI support agent designed for accurate, trustworthy conversations rather than generic automated replies.