AI & Automation Workflow

Facebook Messenger Chatbot

An automated workflow that receives chat messages from users on Facebook Messenger, processes the input using AI agents, and sends back automatic responses. The workflow integrates Messenger with n8n, triggers upon receiving a message, sends it to the AI agent for understanding and response generation, and returns the answer to the user in real time.

Objective: To provide instant, 24/7, AI-driven customer support and engagement on Facebook Messenger.

Business Impact:

  • Improved Customer Satisfaction: Instantaneous responses meet Thai consumer expectations for speed.

  • Increased Efficiency: Reduces manual workload for staff.

  • 24/7 Availability: Captures leads and answers questions even when the office is closed.

Automated Facebook Post Generator

A workflow for automating Facebook Page posts. The process starts with initial post ideas (topics, outlines, etc.) saved in a Google Sheet. An AI agent then generates full content, catchy captions, and images (using an image generation tool). The workflow schedules and publishes these posts automatically to the Facebook Page, streamlining the entire content creation and posting process.

Objective: To automate the entire content creation and publishing pipeline for a Facebook Page.

Business Impact:

  • Time Savings: Frees up hours of marketing work per week.

  • Consistent Branding: Maintains a regular posting schedule, keeping the audience engaged.

  • Enhanced Content Quality: Leverages AI to generate creative ideas and visuals.

Knowledge Embedding & RAG for Chatbot

A workflow designed as part of building an AI chatbot with Retrieval-Augmented Generation (RAG). It collects and processes business data—such as product information, pricing, promotions, and stock status—and embeds this knowledge into a vector database. The workflow includes steps for chunking documents, adding metadata, and generating context to enable the chatbot to retrieve relevant information and answer user questions more accurately.

Objective: To empower a chatbot with deep, specific knowledge about the business, enabling it to answer complex questions accurately.

Business Impact:

  • Drastically Reduced Errors: Provides accurate, context-aware answers.

  • Handles Complexity: Can answer specific and multi-part questions.

  • Builds Customer Trust: Users receive reliable information, reducing the need to speak to a human agent.

LINE Chatbot with Intent Recognition & Feedback

A workflow designed as part of building an AI chatbot with Retrieval-Augmented Generation (RAG). It collects and processes business data—such as product information, pricing, promotions, and stock status—and embeds this knowledge into a vector database. The workflow includes steps for chunking documents, adding metadata, and generating context to enable the chatbot to retrieve relevant information and answer user questions more accurately.

Objective: To create a sophisticated chatbot on LINE that understands user goals and continuously improves itself through feedback.

Business Impact:

  • Superior CX on LINE: Engages customers on their most-used app.

  • Higher Conversion: Guides users down the correct path (sales vs. support) more effectively.

  • Continuous Improvement: The chatbot gets smarter and more helpful with every interaction.

Data Analyst AI Agent for Business Insights

A workflow that leverages an AI agent to act as a virtual data analyst. When users ask business questions via LINE—such as "How are this month’s sales?"—the agent converts the question into an SQL query, retrieves the relevant data from BigQuery, generates clear text answers and dynamic charts or graphs, and delivers the insights back to the user on LINE. This automates business data analysis and reporting via chat.

Objective: To provide business managers with instant data analysis and visualizations through simple chat commands on LINE.

Business Impact:

  • Data-Driven Decisions: Empowers leadership to make decisions based on real-time data.

  • Extreme Speed: Reduces time for business reporting from hours to seconds.

  • Accessibility: Makes complex business data accessible to non-technical staff.