Unlock the Power of Agentic AI – No Tech Background Needed

This masterclass teaches you “how to engineer reliability.”

Agentic AI Masterclass is a hands-on, applied workshop designed for leaders who want to move beyond chatbots and build AI systems that can reason, route tasks, work with data, and operate reliably.

You will learn how modern companies design agentic systems that act like a digital workforce—handling structured tasks across sales, support, operations, and internal processes—while remaining cost-efficient, auditable, and human-controlled.

This workshop is not about hype, tools in isolation, or abstract theory. This is a hands-on masterclass designed to help you move beyond using AI as a chatbot, and start thinking in systems.

Design AI systems with clear roles, step-by-step workflows, guardrails, and human-in-the-loop control.

By the end of the workshop, participants leave with a new mental model, a clear agent design framework, and a practical system blueprint they can apply to real work.

1)This Workshop is for Those Who Want to:

2)Move beyond using AI as just a chatbot.

3)Understand how Agentic AI systems actually work.

4)Learn systems thinking for AI—not just tool tricks.

5)Design AI workflows with roles, steps, checks, and human approvals.

5)Reduce fear around AI reliability and hallucinations.

6)Build a strong foundation before implementing AI agents in real tools.

7)Prepare for the future of AI without needing a technical background.

Workshop Module

Module 1 — AI Foundations and Introduction to Agentic AI

From Curious User to Confident Operator

The starting point. What separates an AI agent from the ChatGPT tab you already have open, and why business leaders are treating this shift as the real one.

Topics Covered

The evolution from rule-based software to generative AI to autonomous agents

The four defining traits of an agent: goal-direction, autonomy, memory, and tool use

Where most businesses actually are today, and where the frontier is moving

Live demonstration of a working agent completing a multi-step task

Small-group myth-busting on what agents can and cannot do

What You'll Walk Away With

How to explain agentic AI in plain language to your team, board, or clients

How to spot the difference between a genuine agent and a repackaged chatbot in vendor pitches

Module 2 — How Agents Think, Plan, and Act

The internal loop that makes an agent work. Explained without code, using the analogy of briefing a smart new hire who has access to every tool in your company.

Topics Covered

The Perceive, Plan, Act, Reflect cycle with a visual walkthrough

What "tools" means in practice: APIs, search, email, code execution, databases

Short-term versus long-term memory, and why context length matters for real work

Multi-agent systems: what happens when agents start collaborating with each other

Where agents succeed, where they struggle, and where a human must stay in the loop

What You'll Walk Away With

How to map one of your own real workflows onto the agent loop

How to identify the specific checkpoints where human judgement is non-negotiable

Module 3 — Real-World Applications Across Six Business Functions

The most concrete session of the day. Real agentic AI use cases from Operations, Sales, HR, Finance, IT, and Marketing, with honest commentary on what already works and what is still hype.

Topics Covered

Operations: KPI monitoring, anomaly detection, automated reporting

Sales and CRM: lead qualification, personalised outreach, pipeline hygiene

HR: CV screening, interview scheduling, onboarding automation

Finance, IT, and Marketing use cases with maturity levels for each

Department Sprint: a peer-reviewed team exercise to identify two use cases you could pilot in the next 12 months

What You'll Walk Away With

How to spot high-leverage agentic use cases inside your own function

How to pressure-test a proposed use case before spending money or team time on it

Module 4 — Opportunities, Risks, and the AI-Ready Operator

From Using AI Tools to Building Your Own Systems

TThe final session brings it together from a leadership perspective. The upside is real, but so are the failure modes, and this module gives you a framework for both.

Topics Covered

The augmentation mindset: AI as amplifier, not replacement

Real risks: compounding automation errors, data privacy, bias, accountability gaps, and skill atrophy on teams

The AI-Ready Operator Framework: goals, checkpoints, ethics, people, and change

Individual Commitment Cards: one action and one open question, with a 30-day follow-up

Open Q&A

What You'll Walk Away With

How to evaluate any proposed AI use case using a simple decision framework

How to lead your team through the next 18 months without overhyping or under-deploying