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.
Quickchat AI
RevendiquerQuickchat AI is a platform for custom AI Agents for support, sales and ecommerce across web and messaging, with knowledge grounding, workflows, inbox and analytics.
What Quickchat AI does
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.
Core features
Knowledge base grounding
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.
AI actions and handoff
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.
Multi-channel deployment
Deploy the same agent across web widgets, public chat URLs, iframe embeds, WhatsApp, Slack, Discord, Telegram, Messenger, Instagram, Intercom, HubSpot, and Zendesk.
Inbox and traceability
Review conversation history, metadata, summaries, translations, and the sources behind each answer in a shared Inbox for ongoing operations and quality control.
Conversation insights
Track sentiment, outcomes, topics, alerts, and content gaps to see where answers succeed, where they fail, and what the knowledge base is missing.
Common ways teams use Quickchat AI
Customer support automation
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.
Ecommerce assistance
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.
Sales and lead qualification
Handle pre-sales questions, qualify leads, collect details, and trigger follow-up actions or routing so sales teams can focus on higher-value conversations.
Shared inbox operations
Centralize live conversation review, assign chats to teammates, and use transcripts, summaries, and source references to keep support operations coordinated.
Conversation analysis and content maintenance
Monitor conversation outcomes, sentiment, and content gaps to identify where the knowledge base needs improvement and where the agent is missing answers.
Pros and Cons
Pros
- Covers the full path from configuration to deployment, conversation review, and analytics.
- Supports multiple channels, including website chat, WhatsApp, Slack, and several helpdesk and messaging integrations.
- Lets teams ground answers in their own documents, websites, files, and connected content sources.
- Includes action-taking workflows, not just text responses, so the agent can trigger external systems or route to humans.
- Offers a free plan plus clearly published paid tiers and an Enterprise path.
Cons
- Some advanced deployment and operational features are reserved for higher-priced plans, such as branding removal, API access, and conversation export.
- The source material is strong on platform modules and deployment options, but thinner on specific setup limits and detailed integration behavior for every connector.
FAQ
What channels can Quickchat AI deploy to?
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.
How does the Quickchat AI workflow work?
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.
Can teams manage and review conversations in Quickchat AI?
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.
Does Quickchat AI offer a free plan or custom enterprise pricing?
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.
Quick Facts
- Category
- AI Agents / AI Chat
- Platform
- Web platform with deployable chat interfaces and integrations
- Primary users
- Support, sales, ecommerce, and operations teams
- Source domain
- quickchat.ai
- Pricing
- Free plan, paid plans, and Enterprise pricing
- Deployment surfaces
- Website widget, chat page, iframe, WhatsApp, Slack, and more