LeadFlow AI
An AI receptionist and CRM that brings leads, customer conversations, appointments and follow-ups into one workspace.
Explore the buildThe challenge
The problem behind the build
Customer enquiries, sales context and scheduling often live in separate tools. A receptionist needs business-specific answers and a clear route to a human when the knowledge base is insufficient.
The approach
How the pieces fit together
The implementation connects organization-scoped CRM records to a shared inbox and knowledge-base-driven replies. Calendar, task and workflow screens keep the next action close to the conversation.
Capabilities
Inside the implementation
Business knowledge base and AI-assisted replies with human escalation
Lead pipelines, customer records and organization membership
Conversation threads, appointment scheduling and task workflows
System structure
The main building blocks
- 01
Business knowledge
- 02
Conversation layer
- 03
CRM records
- 04
Team workspace
Technology
The stack behind this project
ReactTypeScriptHonotRPCDrizzleMySQLOpenAI
Project scope
The repository includes provider integrations for messaging, voice, billing and attachments. Their operation depends on the connected business services.
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Related work
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