Northvale Institute Course Inquiry SMS Assistant

Workflow Name

Northvale Institute Course Inquiry SMS Assistant

Key Features and Highlights

This workflow enables intelligent course inquiries via SMS, allowing users to send text messages and instantly receive up-to-date information about Northvale Institute’s 2025-2026 academic year courses. Core highlights include:

• SMS-triggered interactions and replies powered by Twilio, delivering a convenient mobile consultation experience.
• An intelligent agent driven by OpenAI’s GPT-4 model that dynamically interprets user intent, automatically constructs database query parameters, and provides accurate, real-time course information.
• Integration with the Airtable course database, supporting queries on course details, professor listings, and department information to ensure authoritative and timely data.
• Automatic logging of each Q&A session into Airtable for subsequent analysis and potential lead management.
• Contextual memory capabilities that enhance conversational coherence and overall user experience.

Core Problems Addressed

Traditional course inquiries often rely on manual customer service, resulting in slow response times and low efficiency. This workflow’s automated SMS Q&A system:

• Significantly reduces user wait times by enabling 24/7 instant responses.
• Alleviates the workload of inquiry teams, improving service scalability and quality.
• Ensures accuracy and timeliness of answers, preventing outdated or incorrect information.
• Facilitates data management and follow-up analysis to support enrollment and academic optimization.

Use Cases

• Automated inquiry services for university admissions offices
• Course promotion and Q&A for educational institutions
• Student self-service for checking course schedules, professor information, and department setups
• Any business scenario requiring rapid, complex query responses via SMS

Main Workflow Steps

1. Receive student inquiry SMS via Twilio.
2. Extract message content and sender phone number as the session identifier.
3. Invoke the intelligent agent (based on OpenAI GPT-4) with contextual memory to understand the user’s question.
4. The agent dynamically queries the Airtable course database—including course lists, professors, and departments—and automatically generates query conditions.
5. Generate accurate and detailed responses based on query results.
6. Log the Q&A records into Airtable’s “Call Log” table for management and analysis.
7. Send the reply SMS back to the user via Twilio, completing the interaction loop.

Involved Systems and Services

• Twilio: SMS sending/receiving and webhook triggering
• Airtable: Course database and data storage (course details, professors, departments, inquiry logs)
• OpenAI GPT-4: Intelligent language understanding and generation powering the AI agent
• n8n: Workflow automation orchestration and node management

Target Users and Value Proposition

• Enrollment and student service teams at educational institutions seeking to enhance inquiry automation and response efficiency
• IT and automation developers aiming to rapidly deploy and customize SMS-based intelligent Q&A systems
• Enterprises needing to deliver precise information services to users via mobile SMS channels
• Innovative project teams looking to combine AI with databases for complex queries and human-machine interaction

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This workflow deeply integrates artificial intelligence with automated processes to create an intelligent, efficient, and user-friendly SMS course inquiry assistant, greatly enhancing user experience and operational efficiency. It enables digital transformation and service upgrades for university admissions and educational consulting alike.