About this Event
The AI-Augmented Leader
How to Create Competitive Advantage Through AI and Human-Centred Leadership
Course Overview
Artificial Intelligence is accelerating workplace transformation across Singapore and globally. However, a critical paradox has emerged: while organizations adopt AI tools at scale, faster execution is not automatically producing higher strategic value or better business outcomes.
Most AI courses focus purely on software mechanics and prompt engineering. The AI-Augmented Leader is a non-technical program designed to elevate human judgment, critical co-thinking, and emotional intelligence alongside AI capability. Grounded in First Principles Thinking, Ethical Judgment, and the Love Intelligence Framework (Care, Courage, Connection), this course equips leaders to solve core workplace bottlenecks, maintain trust, and build an irreplaceable career moat.
Leaders also learn to assess whether an AI initiative can sustain value over time, weigh its environmental, social and governance (ESG) impacts, and justify the use of company or public funds.
Learning Outcomes
• Identify & Solve Core Bottlenecks: Apply First Principles Thinking to deconstruct operational friction before applying technology.
• Master Co-Thinking with AI: Transition from treating AI as a passive text-generator to utilizing it as an adversarial sounding board.
• Elevate Professional Judgment: Leverage personal experience, ethics, and sustainability metrics to filter out superficial or biased AI outputs.
• Lead with Human Touch: Execute transformation using Love Intelligence—balancing Care for teams, Courage in workflow redesign, and Connection across human-AI systems.
• Build a Career Moat: Shift professional positioning from routine task execution to irreplaceable strategic contribution.
• Assess AI initiatives for material ESG impacts and build a financial case with clear costs, expected benefits, approval authority and review criteria.
Who Should Attend
• Managers, team leaders, department heads,
• Project or transformation leads in businesses, public agencies and statutory boards.
No coding experience is required. Participants to bring a non-confidential workflow for case study.
We include a prepared case and sample AI outputs for participants who cannot use an approved AI tool during the session.
Module 1: The AI Paradox in the Workplace
• Understanding the AI Paradox: What do you do with the time and manpower saved?
• Distinguishing task execution (replaceable by AI) from value creation (uniquely human)
• The erosion of critical thinking with reliance on generative AI outputs
• Elements of effective Critical Thinking and how AI can help us in Critical Thinking
• Human judgment, context awareness, and strategic discernment as the key to using AI
• Using Sun Tzu’s Know Yourself, Know Others to handle AI outputs
Discussion:
• Which high-volume tasks in your department are currently being automated by AI?
• What value gaps remain unresolved or enhanced with the use of AI?
• How to elevate your current role to command double its strategic value over the next 12 months
MODULE 2: First Principles Problem Discovery
• First Principles Thinking: Stripping away assumptions, beliefs and past practices to build solutions based on proven truths
• 3 Steps to true innovation using First Principles Thinking
• Deconstructing operational bottlenecks down to fundamental physical and business truths.
• Uncovering hidden problems and problems that do not exist (yet)
Activity:
• Take your work issue, discover the problem using First Principles Thinking
Module 3: Co-Thinking with AI (Adversarial & Strategic Prompting)
• Moving beyond transactional prompting: Using AI as a cognitive sparring partner and counter-thinker.
• Adversarial AI techniques: Write your own initial recommendation, then ask AI to surface assumptions, stakeholder objections and missing evidence
• Prompting models to attack your assumptions, identify blind spots, and simulate stakeholder objections.
• Synthesizing human intuition with algorithmic scale to achieve problem-solving depth.
• Maintaining cognitive control and avoiding automated bias confirmation.
Activity: Red-Teaming Challenge: Participants use live AI models to aggressively stress-test a real strategy proposal, discovering hidden risks and refining their decision thesis in real time.
Module 4: Judgment, Sustainability, ESG and Financial Governance
• Tap into accumulated wisdom and lived experience to evaluate machine output
• Filter out superficiality, hidden algorithmic bias, and short-term compliance traps.
• Apply lenses of Truth, Goodness, and Sustainability to decision-making.
• Establish personal and team guardrails for responsible, ethical AI usage
• Environmental: Consider whether the workflow warrants the AI resources it uses. Where material, compare energy use or a reasonable proxy, such as processing volume, across options and document data gaps.
• Social: Assess changes in staff workload and skills, and check whether the workflow preserves fair and accessible service for customers or the public.
• Governance: Identify who owns the decision, who reviews AI outputs, and what approvals and records are needed to explain decisions and resolve exceptions.
• Financial governance: Estimate total costs, including licences, implementation, staff training and ongoing review. Separate cash savings from staff time freed up. Assign a budget owner and set spending and approval limits.
Discussion: Who bears the cost or risk if the AI output is wrong, and who has authority to pause the pilot?
Activity:
Case Lab: Assess a proposal to use AI for routine enquiries in your work. Compare cost and expected benefits, identify a material ESG risk, and recommend whether to approve, revise or defer the pilot. Explain who signs off and what evidence would justify continuing.
Module 5: The Human Touch in AI: Love Intelligence (LQ) in Action
• Addressing change management friction and employee technology anxiety
• Love intelligence: myths and truths and importance of LQ in trust building
• Care: Demonstrate empathy for team members impacted by automation and restructuring
• Courage: Challenge comfortable status-quo workflows and making tough strategic pivots.
• Connection: Build psychological safety, trust, and alignment
• Six keys to a winning team from Strong Leadership to 100% Involvement
Activity: “If I show AI how I do my work, what happens to my job?” Participants use Care to hear the concern, Courage to explain what they know and what is still undecided, and Connection to involve the employee in shaping the pilot.
Module 6: Action Lab & Personal 90-Day Blueprint
• Use Yijing to handle change in conditions: pause, adjust or proceed?
• Integrate First Principles, Judgment, and Love Intelligence into a practical roadmap
• Construct a personal "Career Moat" that leverages AI for scale while securing human irreplacability.
• Design human-led, AI-assisted implementation metrics for workplace execution
Activity:
• What is the single most critical initiative you will launch upon returning to your workplace tomorrow?
• 90-Day Success Blueprint Presentation: Participants pitch their customized human-AI execution plan to peer feedback pods, leaving with a fully actionable roadmap.
What You’ll Take Back to Work
AI is changing what people are valued for. The future belongs to leaders who pair human wisdom, emotional intelligence, and first-principles thinking with the speed of AI. AI increases productivity; only human leadership increases value.
Bring one workflow. Leave with a 90-day plan that shows what AI will handle, where people will exercise judgment, and how you’ll know whether the change improved a business or public-service outcome.
Event venue & nearby stays
Hotel Grand Pacific, 101 Victoria Street, Singapore, Singapore
Concerts, fests, parties, meetups — all the happenings, one place.