AI identity controls
Set the agent’s personality, tone of voice, profession, creativity, and reply length, with guardrails and system-level guidelines to keep responses consistent.
Build custom AI Agents for support, sales, and ecommerce across web and messaging channels.
Quickchat AI is a platform for building custom AI Agents that handle customer support, sales, and ecommerce conversations. The product is designed to do more than answer questions: it can read company content, take actions through connected tools, and move conversations across website chat, messaging apps, and helpdesk surfaces.
The platform centers on a structured workflow. Teams define the agent’s identity and behavior, add source material to a knowledge base, connect actions or external systems, then deploy the agent and monitor conversations in an Inbox and Insights area. The pricing page shows a free tier, several usage-based plans, and an Enterprise option for larger deployments.
Set the agent’s personality, tone of voice, profession, creativity, and reply length, with guardrails and system-level guidelines to keep responses consistent.
Ground answers in your own content by importing documents, crawling websites, syncing help-center articles, and ingesting Shopify catalogs. Source refresh helps keep responses current.
Let the agent take action during a conversation by calling HTTP APIs, using MCP tools, querying Shopify, scheduling events, qualifying leads, or escalating to a human based on confidence or rules.
Deploy the same agent across web widgets, public chat URLs, iframe embeds, WhatsApp, Slack, Discord, Telegram, Messenger, Instagram, Intercom, HubSpot, and Zendesk.
Review conversation history, metadata, summaries, translations, and the sources behind each answer in a shared Inbox for ongoing operations and quality control.
Track sentiment, outcomes, topics, alerts, and content gaps to see where answers succeed, where they fail, and what the knowledge base is missing.
Automate repetitive support questions, resolve common issues from the knowledge base, and escalate to a human when confidence is low or a rule requires it.
Answer product and order questions in storefront or messaging flows, connect to Shopify, and guide buyers toward the right next step without waiting for a live agent.
Handle pre-sales questions, qualify leads, collect details, and trigger follow-up actions or routing so sales teams can focus on higher-value conversations.
Centralize live conversation review, assign chats to teammates, and use transcripts, summaries, and source references to keep support operations coordinated.
Monitor conversation outcomes, sentiment, and content gaps to identify where the knowledge base needs improvement and where the agent is missing answers.
Quickchat AI is set up to build and deploy custom AI Agents that can respond across channels such as a website widget, chat page, iframe embed, WhatsApp, Slack, and other supported integrations. The platform also includes an Inbox for reviewing conversations and handing them off to humans.
The platform is organized around six modules: AI Identity, Knowledge Base, AI Actions, Go Live, Inbox, and Insights. In practice, that means you define the agent’s behavior, add source content, connect actions, deploy it, review conversations, and monitor performance.
Quickchat AI supports user roles, human handoff, working hours, conversation analytics, and knowledge base imports from documents, websites, files, Shopify, Intercom Articles, and YouTube videos. The Business plan adds API access and conversation export.
The pricing page shows a Free plan, several paid tiers, and an Enterprise option with custom pricing based on resolutions and implementation needs. The site also offers start-for-free and book-a-demo entry points.
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