AI Chatbot Development for Omnichannel
Budget: $30 – $250 USD
Scope of Work (SOW): Development of FODO AI chatbot Customer Service Agent using n8n
1. Project Overview
FODO is a modern cloud kitchen startup in Iraq offering healthy meal subscriptions and delivery services. The company aims to enhance customer experience and operational efficiency by developing a smart AI-powered customer service agent. The AI agent will be built using the n8n automation platform, integrated with Airtable (for data management) and Power BI (for real-time reporting). It will operate across multiple communication channels — WhatsApp, Instagram, and Facebook Messenger — and connect with FODO’s internal database via API to provide personalized and intelligent responses.
2. Objectives
• Develop an AI-driven omnichannel customer service agent using n8n.
• Integrate Airtable as the central data source for FAQs, customer interactions, and content updates.
• Connect Power BI for analytics and performance dashboards.
• Enable secure API integration with FODO’s main database for personalization.
• Automate responses to common inquiries, while allowing continuous learning and improvement from user feedback.
• Ensure the solution is modular, scalable, and easy to update by FODO’s internal team.
3. Project Scope
3.1 AI Agent & Knowledge Management
• Build and configure the AI agent inside n8n using advanced workflows and integrations.
• Connect the AI to structured and unstructured data sources (FAQs, Q&A sheets, menus, policies, previous chat logs, etc.).
• Implement a Retrieval-Augmented Generation (RAG) approach to improve accuracy.
• Allow admin to upload or update new data directly via Airtable.
3.2 Data & API Integrations
• Establish secure API connection with FODO’s core database for personalized responses.
• Integrate Airtable as a dynamic database for managing FAQs, tagging interactions, and storing feedback.
• Enable two-way sync between Airtable and the AI agent.
3.3 Communication Channels
• Integrate WhatsApp Business API, Instagram Direct, and Facebook Messenger APIs.
• Ensure unified logic and consistency of responses across all platforms.
• Store all chat logs centrally for analytics and learning.
3.4 Automation & Escalation
• Automate responses for frequent inquiries (menu, delivery times, prices, etc.).
• Include smart escalation to human operators when needed.
• Add sentiment tagging for future analysis.
3.5 Learning & Feedback System
• Implement internal feedback mechanism for admins to rate responses.
• Store feedback in Airtable for transparency and retraining.
• Schedule weekly sync for review of failed responses.
3.6 Reporting & Analytics
• Connect Power BI to n8n and Airtable for KPI tracking and dashboards.
• Schedule automated reporting and email summaries.
3.7 Security & Compliance
• Ensure GDPR-like compliance for all customer data.
• Manage secrets securely via n8n environment variables.
3.8 Handover & Documentation
• Deliver workflow documentation and admin guide.
• Provide 1-hour training session for FODO’s team.
4. Deliverables
• Fully functional AI Agent built in n8n.
• Multi-channel integrations (WhatsApp, Instagram, Facebook).
• Secure API connection to FODO’s main database.
• Airtable integration as dynamic knowledge base.
• Power BI dashboard connected for reporting.
• Intelligent feedback and learning mechanism.
• Documentation and user training.
5. Technical Requirements
• Experience with n8n automation platform.
• Understanding of data privacy and secure authentication.
6. Project Timeline & Milestones
Estimated Total Duration:
Phase 1: Discovery & Setup (): Confirm requirements, API access, and workflow design – Milestone: 15%
Phase 2: Core Agent & Data Integration (): Build AI logic, connect database + Airtable – Milestone: 25%
Phase 3: Channel Integrations (): Integrate WhatsApp, Instagram, Facebook APIs – Milestone: 25%
Phase 4: Testing & Optimization (): QA testing, Power BI setup – Milestone: 25%
Phase 5: Training & Handover (): Documentation, training, final approval – Milestone: 10%
7. Success Criteria
• At least 90% response accuracy from FAQ dataset.
• Full synchronization between n8n, Airtable, and Power BI.
• Personalized responses based on customer data.
• Unified and stable performance across all channels.
• System is secure, documented, and maintainable.
1. Project Overview
FODO is a modern cloud kitchen startup in Iraq offering healthy meal subscriptions and delivery services. The company aims to enhance customer experience and operational efficiency by developing a smart AI-powered customer service agent. The AI agent will be built using the n8n automation platform, integrated with Airtable (for data management) and Power BI (for real-time reporting). It will operate across multiple communication channels — WhatsApp, Instagram, and Facebook Messenger — and connect with FODO’s internal database via API to provide personalized and intelligent responses.
2. Objectives
• Develop an AI-driven omnichannel customer service agent using n8n.
• Integrate Airtable as the central data source for FAQs, customer interactions, and content updates.
• Connect Power BI for analytics and performance dashboards.
• Enable secure API integration with FODO’s main database for personalization.
• Automate responses to common inquiries, while allowing continuous learning and improvement from user feedback.
• Ensure the solution is modular, scalable, and easy to update by FODO’s internal team.
3. Project Scope
3.1 AI Agent & Knowledge Management
• Build and configure the AI agent inside n8n using advanced workflows and integrations.
• Connect the AI to structured and unstructured data sources (FAQs, Q&A sheets, menus, policies, previous chat logs, etc.).
• Implement a Retrieval-Augmented Generation (RAG) approach to improve accuracy.
• Allow admin to upload or update new data directly via Airtable.
3.2 Data & API Integrations
• Establish secure API connection with FODO’s core database for personalized responses.
• Integrate Airtable as a dynamic database for managing FAQs, tagging interactions, and storing feedback.
• Enable two-way sync between Airtable and the AI agent.
3.3 Communication Channels
• Integrate WhatsApp Business API, Instagram Direct, and Facebook Messenger APIs.
• Ensure unified logic and consistency of responses across all platforms.
• Store all chat logs centrally for analytics and learning.
3.4 Automation & Escalation
• Automate responses for frequent inquiries (menu, delivery times, prices, etc.).
• Include smart escalation to human operators when needed.
• Add sentiment tagging for future analysis.
3.5 Learning & Feedback System
• Implement internal feedback mechanism for admins to rate responses.
• Store feedback in Airtable for transparency and retraining.
• Schedule weekly sync for review of failed responses.
3.6 Reporting & Analytics
• Connect Power BI to n8n and Airtable for KPI tracking and dashboards.
• Schedule automated reporting and email summaries.
3.7 Security & Compliance
• Ensure GDPR-like compliance for all customer data.
• Manage secrets securely via n8n environment variables.
3.8 Handover & Documentation
• Deliver workflow documentation and admin guide.
• Provide 1-hour training session for FODO’s team.
4. Deliverables
• Fully functional AI Agent built in n8n.
• Multi-channel integrations (WhatsApp, Instagram, Facebook).
• Secure API connection to FODO’s main database.
• Airtable integration as dynamic knowledge base.
• Power BI dashboard connected for reporting.
• Intelligent feedback and learning mechanism.
• Documentation and user training.
5. Technical Requirements
• Experience with n8n automation platform.
• Understanding of data privacy and secure authentication.
6. Project Timeline & Milestones
Estimated Total Duration:
Phase 1: Discovery & Setup (): Confirm requirements, API access, and workflow design – Milestone: 15%
Phase 2: Core Agent & Data Integration (): Build AI logic, connect database + Airtable – Milestone: 25%
Phase 3: Channel Integrations (): Integrate WhatsApp, Instagram, Facebook APIs – Milestone: 25%
Phase 4: Testing & Optimization (): QA testing, Power BI setup – Milestone: 25%
Phase 5: Training & Handover (): Documentation, training, final approval – Milestone: 10%
7. Success Criteria
• At least 90% response accuracy from FAQ dataset.
• Full synchronization between n8n, Airtable, and Power BI.
• Personalized responses based on customer data.
• Unified and stable performance across all channels.
• System is secure, documented, and maintainable.