Workflow Intelligence with Gen AI and n8n

Program Description

This two-day strategic program is designed for non-technical executives to transition from manual, fragmented processes to Autonomous Workflow Intelligence.
Utilizing n8n - the world’s leading low-code workflow automation platform - participants will learn to orchestrate "AI Agents" that connect their existing corporate tools (Google Workspace, Microsoft 365, Slack, CRM, ERP) into seamless, intelligent ecosystems.
This program moves beyond simple "chatting" with AI to building persistent, 24/7 digital workers that handle high-volume administrative and analytical tasks, ensuring 100% compliance with Malaysia’s PDPA and National AI Governance (AIGE) standards.

While this outline serves as a foundational framework with use cases from multiple industries and functions, the final program is fully customized to your industry and internal workflows.

Participants work on real-world problems, not generic examples. We engage in a pre-workshop alignment to inject your specific organizational datasets, pain points, and proprietary use cases directly into the curriculum.

Learning Objectives

Master Low-Code Workflow Logic: Understand the "Trigger-Action-Logic" framework of n8n to map and automate complex business processes.
Integrate Gen AI into Operations: Learn to embed LLMs (ChatGPT, Claude, Gemini) directly into automated workflows for real-time decision-making.
Architect Autonomous AI Agents: Build "Digital Workers" that can research, summarize, and respond to business events without manual intervention.

Program Details

Content

Day 1: Foundations of Intelligent Automation

Module 1: The Automation Mindset – From Tasks to Workflows

Understanding the difference between standalone AI tools and integrated “Workflow Intelligence.” Introduction to the n8n interface and node-based logic.
Scenario (General): An executive team maps a “Lead-to-Cash” process to identify where manual data entry can be replaced by an intelligent n8n agent.
Hands-on: “Hello n8n” – Building your first automated workflow: Triggering an AI-generated summary of a new Google Drive document and sending it to a Slack/Teams channel.
Expected Impact: Foundational ability to see business operations as a series of automatable “nodes.”

Module 2: AI-Powered Communications & CRM Automation

Automating high-touch external and internal communications using Gen AI to maintain brand voice at scale.
Demo (Retail/E-commerce): An n8n workflow that monitors incoming customer emails, uses AI to categorize sentiment, and drafts a personalized response in the CRM based on inventory availability.
Hands-on: Build a “Sentiment Watchdog” – a workflow that flags negative social media mentions or reviews and alerts the PR lead with an AI-suggested recovery script.
Expected Impact: 70% reduction in response time; improved customer satisfaction through hyper-personalization.

Module 3: Intelligent Document & Data Processing

Using AI “Vision” and OCR nodes within n8n to extract structured data from unstructured sources (PDFs, Invoices, Receipts).
Scenario (Finance/Operations): Automating the accounts payable process – extracting data from vendor invoices and automatically updating an Excel/Google Sheet for approval.
Hands-on: Create an “Automatic Researcher” – a workflow that takes a URL/PDF, extracts the key financial data via AI, and formats it into a structured report.
Expected Impact: Elimination of manual data entry errors; significant hours reclaimed from administrative “grunt work.”

Module 4: Managing Data Sovereignty & AI Ethics

Ensuring that automated workflows remain compliant with PDPA and do not leak PII (Personally Identifiable Information) to global AI models.
Scenario (HR/Legal): Implementing a “Redaction Node” – an n8n workflow that automatically scrubs NRIC or phone numbers from a document before sending it to an LLM for analysis.
Hands-on: Setting up “Approval Nodes” – adding a manual step where an executive must “Approve/Reject” an AI-generated output before it is sent to a client.
Expected Impact: 100% compliance with local governance; structural protection of corporate reputation.

Day 2: Advanced AI Agents & Strategic Deployment

Module 5: Building "Agentic" Workflows with Memory

Moving beyond linear automation to “Agentic” workflows where the AI can “choose” the next step based on the data it receives.
Scenario (Banking/Compliance): An AI agent that monitors transaction logs; if it detects an anomaly, it automatically initiates a “Due Diligence” search and compiles a risk report.
Hands-on: Build a “Market Intelligence Agent” – a workflow that monitors news feeds for specific competitors and creates a weekly competitive landscape dashboard.
Expected Impact: Proactive strategic awareness; shift from reactive to autonomous operational monitoring.

Module 6: Connecting the "Corporate Brain" (RAG Workflows)

Using n8n to connect AI to your private corporate knowledge base (Vector Databases or simple document stores).
Demo (HR/SOP): An internal WhatsApp/Slack bot that allows employees to ask questions about company policy, fetching answers only from approved internal PDFs.
Hands-on: Building a “Knowledge Retrieval” loop – connecting a “Search” node to a “Gen AI” node to ensure AI answers are anchored in your company’s facts.
Expected Impact: 90% reduction in internal FAQ inquiries; “hallucination-free” AI support for staff.

Module 7: Visualizing Impact – Automated Executive Dashboards

Using n8n to consolidate data from multiple automated workflows into a single “Live” executive summary or email digest.
Scenario (Manufacturing): A daily 8:00 AM email to the COO summarizing factory output, AI-predicted maintenance risks, and supply chain delays from the previous 24 hours.
Hands-on: Setting up a “Multi-Source Digest” – gathering data from 3 different apps and using AI to write a concise “Status & Outlook” report for the leadership team.
Expected Impact: Crystal-clear operational visibility; faster executive-level decision-making.

Module 8: The 90-Day Workflow Transformation Roadmap

Designing a phased implementation plan for your department. Prioritizing workflows based on High Impact vs. Low Complexity.
The Framework: The “Automation Audit” – mapping current bottlenecks to n8n solutions and assigning “Human-in-the-loop” owners.
Expected Impact: A prioritized “Automation Backlog” ready for immediate deployment; measurable KPIs for operational efficiency.

List of Deliverables

Upon completion of the program, participants will have produced a tangible “AI Portfolio” including:

Prerequisites

Technical Knowledge: No prior coding, Python, or technical automation experience is required. This is a business-led program for leaders.
Essential Equipment: Participants must bring a laptop with access to an n8n account (Cloud or Desktop version) and their corporate suite (Google/Microsoft).
Mindset: A willingness to challenge the "This is how we've always done it" manual mentality.

Who Should Attend

COO, GMs, and Senior Operations Managers
Heads of Digital Transformation and IT Strategy
Marketing, HR, and Finance Directors
Project Management Office (PMO) Leads
Business Unit Heads looking to scale productivity without increasing headcount

Training Methodology

The "Zero-to-One" Lab: Hands-on application building actual workflows from scratch using a visual "drag-and-drop" interface.
Strategic Process Mapping: Interactive sessions to deconstruct human processes into machine logic.
Governance Co-Design: Group sessions to build the corporate "Safe Automation" guidelines.

100% HRDC-Claimable

This program is fully registered and compliant with HRDC (Human Resource Development Corporation) requirements under the SBL-Khas scheme, allowing Malaysian employers to offset the training costs against their levy.

Certification of Completion

Participants who successfully complete the program will be awarded a “Professional Certificate in Workflow Intelligence & Low-Code Automation.“

Post-Workshop Consulting (Optional)

For organizations looking to bridge the gap between training and execution, we offer optional, paid consulting services. These engagements provide expertise and technical support for specific pilot development or full-scale operational integration of the data- and AI-driven use cases established during the program.