AI is no longer just about automation.
It is about building systems that can interpret context, make decisions, and adapt dynamically.
This invite-only executive workshop explores how to design AI agents using two distinct no-code approaches:
AI-first orchestration with Google Opal
Workflow-first architecture using n8n
Through a structured, architecture-led format, participants will understand how agentic systems work, how they differ from traditional automation, and how to apply them in real enterprise scenarios.
This is not a technical deep dive.
It is a design-thinking session for leaders shaping AI strategy and implementation.
Workshop Highlights
Clear executive understanding of Agentic AI
Practical comparison: AI-first vs workflow-first systems
Hands-on workflow design (no coding required)
Real-world productivity and business automation use cases
Governance, integration, and scalability insights
Structured design frameworks you can apply internally
Why You Shouldn’t Miss This Workshop
Many organizations are experimenting with AI tools.
Few are designing intelligent systems intentionally.
If you are:
Leading digital transformation initiatives
Evaluating workflow or AI platforms
Looking to move beyond rule-based automation
Concerned about scalability and governance
Exploring where AI reasoning truly adds value
This workshop provides clarity.
You will leave with:
A framework to differentiate automation, AI workflows, and agentic systems
A decision model for selecting the right architectural approach
Blueprint-level understanding of intelligent workflow design
Practical ideas ready to pilot within your organization
This session bridges strategy and execution, without technical complexity.
Who Should Attend ?
This executive workshop is curated for:
Digital & Transformation Leaders
Enterprise Architects
Innovation & Strategy Heads
Automation & Process Excellence Leaders
Product & Operations Decision-Makers
AI Adoption Champions
No coding experience required.
Strategic decision-makers welcome.
This session will cover the following topics:
Module 1: Introduction to Agentic AI Using No-Code Tools
What Agentic AI means (agents, goals, tools, decisions, feedback loops)
Automation vs AI workflows vs agentic workflows
Positioning AI-first and workflow-first systems
Identifying tasks requiring rules vs reasoning
Module 2: Google Opal & n8n – Core Building Blocks
Prompt-based workflow creation in Google Opal
Node-based workflow creation in n8n
Handling triggers, actions, and decisions
Implicit vs explicit reasoning models
Designing simple workflows in both tools
Module 3: Use Case Theme 1 – Personal & Knowledge Productivity
AI-driven information gathering
Handling unstructured content
Context-based decision making
Output generation and smart notifications
Module 4: Use Case Theme 2 - Business Process Automation
