all work
AI Appointment & Customer-Service Automation
An AI-driven automation system that turns conversational customer requests into real business actions while keeping communication and CRM records connected.
AI
LLM-powered workflow
4
connected system components
2
automated appointment actions
CRM
business context layer
The problem
Appointment scheduling becomes repetitive when every booking or rescheduling request requires manual customer-service intervention. The engineering challenge is connecting conversational AI to communication infrastructure, automation logic, and the CRM where customer information lives.
//What I built
- LLM-powered customer-service agent.
- Twilio communication integration.
- n8n workflow orchestration connecting multiple systems.
- CRM integration for customer and appointment context.
- Automated appointment booking workflows.
- Automated appointment rescheduling workflows.
//Architecture highlights
- The LLM provides conversational intelligence while the automation layer controls business execution.
- n8n acts as the orchestration layer between AI, communication services, and CRM systems.
- Twilio provides the communication infrastructure.
- CRM data provides the business context required for customer interactions.
- The architecture separates AI reasoning from actual workflow execution.
//The AI layer
- LLM-based agent handles customer-service interactions.
- AI output is connected to real business actions rather than remaining inside a conversational interface.
- The orchestration layer translates AI-driven decisions into appointment and CRM workflows.
//Impact
- Transforms repetitive appointment operations into an automated workflow.
- Connects AI with real communication and business systems.
- Demonstrates practical AI engineering integrated with existing business infrastructure.
AILLMn8nTwilioCRMAutomationAPIs