# Keiki Keiki 是一個可在即時訊息、電子郵件和團隊聊天中部署面向客戶 AI 代理的平台。企業可利用自身知識、品牌語氣和工具建置對話代理,並將其部署到人們已在使用的管道。 - Findings24: - 網站: - 價格: Freemium - 分類: AI知識庫, AI聊天機器人 ## 什麼是 Keiki? Keiki is a platform for building conversational AI agents that you can launch across SMS, WhatsApp, Slack, Telegram, email, and Teams. The product is presented as a fast way to create a customer-facing agent from your business knowledge, then use it in the channels people already use. The site describes an agent builder that can be shaped around products, policies, voice, memory, and tools. It also shows that Keiki can move beyond basic replies by connecting actions such as lead qualification, appointment handling, payments, product recommendations, and human handoffs. ## Keiki 能做什麼? ### Multi-channel deployment Launch one agent across SMS, WhatsApp, Slack, Telegram, email, and Teams while keeping the agent's knowledge and behavior consistent across channels. ### Business-specific grounding Feed the agent products, policies, voice, memory, and tools so it can respond using the information and style that fit the business. ### Action-taking workflows Connect tools so the agent can do work such as qualifying leads, booking appointments, handling payments, recommending products, and routing to a human when needed. ### Templates by profession Start from ready-made templates for use cases such as dental front desks, real estate lead handling, study coaching, salon booking, and property maintenance. ### Addon marketplace Extend agent capabilities with published addons including browser access, memory, payments, web scraping, sandboxed code execution, image generation, recurring tasks, and MCP/OpenAPI connections. ### Guided starting points for different teams The solutions pages present prefilled starting points for many professions, so users can begin with a role-specific workflow instead of assembling everything from scratch. ## 使用情境 ### Customer support in messaging channels Use one agent to answer routine questions in SMS, WhatsApp, email, or team chat, with the same knowledge and tone carried across conversations. ### Front-desk and appointment workflows Set up an agent for dental practices, salons, clinics, or restaurants to handle booking requests, reminders, and follow-up messages. ### Lead qualification and sales follow-up Use the real estate and similar templates to respond to leads quickly, ask qualifying questions, and keep follow-up from being missed. ### Operational task handling Let the agent capture maintenance requests, triage urgent issues, or organize service requests so staff can focus on higher-priority work. ### Custom agents for niche workflows Start with a profession-specific template or a blank builder when the work does not fit a standard playbook, then add the tools the workflow needs. ## 常見問題 ### What does Keiki do? Keiki is a platform for building customer-facing AI agents that can be launched across messaging, email, and team chat channels. It is designed to turn business knowledge and tools into an agent that can respond and take action. ### Which channels does Keiki support? The homepage explicitly mentions SMS, WhatsApp, Slack, Telegram, email, and Teams. ### Does Keiki include templates? Yes. The site shows complete templates and solutions for roles such as dental front desks, real estate, students, salons, property desks, and restaurants, plus many additional profession-based starting points. ### Can Keiki agents do more than answer questions? Yes. The site says agents can connect tools for tasks such as product recommendations, lead qualification, appointments, payments, and human handoffs. ### Is pricing published on the site? The pricing URL provided returns a 404 page, so the source does not show an active public pricing page in the collected evidence. ## 快速資訊 - **Category**: AI Chat - **Platform**: Web app - **Primary users**: Businesses and teams that want customer-facing AI agents - **Channels mentioned**: SMS, WhatsApp, Slack, Telegram, email, Teams - **Source domain**: onkeiki.com - **Pricing**: Not publicly available in the collected source; pricing page returned 404