Course Summary
AI is already changing how teams write, analyse, summarise, automate and make decisions. The opportunity is clear: faster work, better productivity and more scalable output. The leadership challenge is different. Leaders need to guide AI adoption without weakening judgement, trust, governance or team confidence.
This two-day course is designed for non-technical executives, managers and decision-makers who need to move from AI awareness to AI adoption leadership. It is not a coding course, AI engineering course or basic ChatGPT prompting class. It focuses on how leaders evaluate AI outputs, set responsible boundaries, manage team concerns and decide where human oversight must remain.
The course is built around the 6A Augmented Intelligence Framework™, moving participants from awareness to responsible implementation. Day 1 focuses on personal mastery, emotional intelligence and strategic judgement. Day 2 focuses on organisational adoption, governance, human-in-the-loop workflows and team communication. Participants leave with practical tools including an AI judgement framework, governance canvas, workflow blueprint, communication script and 30-day AI adoption playbook.
Frequently Asked Questions
What is this course about?
This course is about AI leadership, strategic judgement, responsible AI use and team adoption.
Participants will learn how to evaluate AI-generated outputs, challenge AI-assisted decisions, apply human judgement, set responsible guardrails and guide teams through AI adoption with confidence. The course is designed for leaders who need to understand AI at a practical management level without going into technical implementation or coding.
What are the learning outcomes?
By the end of this course, participants will be able to:
- Understand how AI is changing leadership, productivity and decision-making
- Explain the role of leaders in guiding responsible AI adoption
- Identify the gap between AI-generated outputs and human strategic judgement
- Evaluate AI outputs for accuracy, ethics, brand integrity and local context
- Use structured questioning techniques to challenge AI assumptions
- Decide when to trust, verify or override AI-generated recommendations
- Build responsible AI guardrails and governance boundaries
- Map human-in-the-loop workflows for team or departmental processes
- Recognise team anxiety, resistance and adoption concerns
- Communicate AI-related change with more clarity, empathy and confidence
- Build a practical 30-day AI adoption plan for a team or department
What are the course modules?
The course covers 9 practical modules:
- AWARE: Understanding the Gap Between AI Capability and Human Judgement
- APPRECIATE: Evaluating AI Outputs Through Emotional Intelligence and Human Context
- ASK: Using Better Questioning and Socratic Interrogation
- The 3-Question Decision Protocol
- Emotional Intelligence and Self-Regulation Under Ambiguity
- ALIGN: Embedding Values, Governance and Guardrails
- APPLY: Designing Human-in-the-Loop Workflows
- ADAPT: Building Feedback Loops and Adoption Plans
- Change Leadership, Team Adoption Psychology and 30-Day Action Planning
Each module connects AI adoption to leadership outcomes, including judgement quality, governance, communication, employee trust, workflow design and implementation readiness.
Who should attend this course?
This course is suitable for:
- Department Heads and Business Unit Leaders
- Managers and Senior Managers
- HR, L&D and Talent Leaders
- Strategy and Transformation Teams
- Operations and Process Improvement Leaders
- Finance, Risk, Compliance and Governance Professionals
- Marketing, Communications and Customer Experience Leaders
- C-Suite and Senior Executives
- Leaders responsible for team productivity, change management or AI adoption
- Non-technical decision-makers who need to understand and guide AI-enabled work
Participants do not need coding, programming or technical AI experience. They should have a basic understanding of their department’s work processes so they can apply the exercises to real business workflows.
Who is the lead trainer?
Martin Li
Founder (The Gain Lab), AI-Empowered Leadership Strategist, Executive Coach
The lead trainer is Martin Li. Martin is a Singapore-based adult educator, growth consultant and executive coach who works at the intersection of Artificial Intelligence and Emotional Intelligence.
He helps leaders and teams integrate AI without eroding trust, culture or ethical clarity. With experience across digital growth, marketing, adult learning and enterprise capability development, Martin brings a practical and human-centred approach to AI transformation.
Martin is the founder of The Gain Lab; a capability development firm focused on bridging advanced technology with core human leadership. His training focus includes AI leadership, human-centred AI adoption, AI governance, emotional intelligence, digital marketing and workplace learning.
How long is this course?
This is a two day corporate training course.
What are the date and venue details?
- The public training for this course has concluded for the current year.
- This course is available for in house training and can be customised for corporate marketing, brand, digital and communications teams.
How much is the course fee?
- For public training, the course fee is RM3,500 per participant. The fee includes applicable taxes and one night stay at the event hotel. A group fee of RM3,150 per participant is available for registrations of three participants and above.
- For in house training, fees are quoted based on the programme scope, number of participants, delivery format and customisation requirements.
Is this course HRD Corp claimable?
- For public training, this course is 100% HRD Corp claimable for eligible employers, subject to HRD Corp approval and the applicable claim process.
- For in house training, HRD Corp claimability depends on employer eligibility, course approval and submission requirements.
How do I learn more or register?
- To learn more, download the course brochure from the right panel.
- For public course registration, complete the registration form in the brochure and email it to registration@skill-lyft.com.
- For in house training enquiries, contact Skill-Lyft and our team will advise on programme scope, customisation, dates and the next steps.
- Last updated: July 2026
