Generative AI for Strategic Planning

Dr. Siva (Prof. Dr. S. Sivanesan) is a Singapore-based governance, risk and compliance specialist with more than 30 years of experience advising organisations at the highest levels. His work includes governance and board advisory, enterprise risk management (ERM), internal controls and audit, and sustainability and ESG governance and reporting, along with business process reengineering and crisis management frameworks and plans. He curates ERM frameworks and training roadmaps and has worked with boards, regulators, financial institutions, the public sector and charities across Asia. A keynote speaker on AI and governance, risk culture and the future of internal audit, he is also the author of "Governance & Risk in a Charitable Setting - Nemesis or Necessity". He holds a Doctorate in Governance, Risks and Sustainability from EIMT, a Masters in Business Systems and a Bachelor of Economics (Accountancy) from Monash University, and a Specialist Diploma in Sustainability Reporting from Temasek Polytechnic. His professional credentials include CIA, CISA and CRISC, and he is ACLP-certified in Singapore and an HRDC-accredited trainer in Malaysia.

Generative AI for Strategic Planning shows leaders and managers how tools such as ChatGPT, Claude and Microsoft Copilot can analyse markets and competitors, generate and stress-test strategic options, draft plans and help track execution. Dr. Siva brings a board-level perspective to how strategy is set, challenged and governed. As learners use AI for environmental scanning and strategic analysis, he encourages them to question the evidence behind AI-generated insights and to keep leaders accountable for the final judgement. His ERM experience is directly relevant to evaluating strategic options and to the topic on strategy execution, risk management and performance tracking, where risks must be weighed alongside goals and KPIs. His sustainability and ESG reporting expertise adds a wider view of the factors that shape long-term strategy, and his keynote work on AI and governance informs responsible use of these tools. Learners leave able to use generative AI to plan faster and decide better, with strategy that is well governed.

Strategy, in Dr. Alfred Ang's experience, is something leaders have to execute as well as write, and his career reflects both sides of that equation. He is the founder of Tertiary Courses and serves as Managing Director, CIO, CTO and Chief Instructional Designer of Tertiary Infotech Academy Pte Ltd, and he also founded Tertiary Robotics in 2015 and Tertiary Courses Malaysia, so the planning questions this course tackles are ones he has faced as a business owner. Alongside that leadership role he is a full-stack AI developer and Agentic AI solution architect who leads agentic AI adoption and digital transformation initiatives for enterprises, helping organisations move from experimentation to operational AI. His management credentials include PMP, CSM and ITIL certification, an online MBA, and an Advanced Certificate in Integrating Sustainability for a Future Ready Business from SMU, while his Certificate in AI Ethics and Governance (Senior Professional) from NTU shapes how he positions AI in decision-making. His academic grounding is a PhD in Electrical Engineering from NUS, an MSc in Electrical and Electronic Engineering from NTU and a B.Sc (Hons) in Physics from NUS. Among the more than 300 public repositories on his GitHub are AICoaching, a business pitch and six-scenario coaching simulator for redesigning jobs around accountable AI-agent ownership, and a series of IT PMO Kanban boards with KPI tiles, project status charts and overdue tracking that he uses for demonstrations and training.

In Generative AI for Strategic Planning, Dr. Ang shows senior and middle managers, business owners and planning professionals how to use ChatGPT, Claude and Microsoft Copilot as thinking partners rather than answer machines. The course moves from generative AI fundamentals into environmental scanning, where learners prompt AI to analyse markets and competitors and populate frameworks such as SWOT, then on to generating and stress-testing strategic options against evidence and risk. From there they build a strategic plan with clear goals and KPIs, and finish with strategy execution, risk management and performance tracking. He draws on his own experience of running training businesses in Singapore and Malaysia to show where AI genuinely saves time, such as first drafts of plans, scenario comparisons and stakeholder communications, and where leaders must keep judgement firmly in their own hands. His project management background shapes the execution topics, with AI used to break a strategy into milestones, owners and dashboards that can actually be tracked. As an ACTA-certified trainer and DACE-certified curriculum developer, he runs the sessions as working workshops: learners carry a strategic initiative through every topic, refine their prompts together and leave with a draft plan they can take back to their teams, along with a repeatable method for checking AI output for accuracy and bias before it reaches the boardroom. Managers who are new to AI are given simple prompt patterns first, while experienced users are pushed to test assumptions and compare competing scenarios. To explore the agentic AI and business tools he builds, view his GitHub portfolio at https://github.com/alfredang and connect with him on LinkedIn at https://www.linkedin.com/in/angchewhoe/

Praveen Dayal is a senior IT leader and project management specialist whose career spans senior leadership roles, digital transformation programmes and enterprise system implementations in banking, finance, manufacturing and technology. He holds international certifications including PMP, PMI-ACP, ASM, CISA, CISM and CRISC, reflecting strong expertise in project management, risk governance and agile practice. He has designed solutions for the banking and finance, ICT and manufacturing verticals, and facilitates training in project management, risk management, information security and IS audit and compliance.

In Generative AI for Strategic Planning, Praveen draws on his experience of leading large-scale programmes to show how tools such as ChatGPT, Claude and Microsoft Copilot can strengthen planning and decision-making. Learners cover generative AI fundamentals for strategy, environmental scanning and strategic analysis with AI, and generating and evaluating strategic options. They then build a strategic plan with goals and KPIs and look at strategy execution, risk management and performance tracking. His grounding in risk governance helps participants test AI-generated options critically before committing to them. As an ACLP-certified trainer, he uses real-world case studies and simulations, so learners leave able to turn strategy into practical, well-governed action.

Zahari Mohd, known as Zack, is an ACTA-certified trainer and PMI Authorized Training Partner Instructor (PMP) with over 20 years of experience in IT service delivery, project management and quality assurance. He is a certified Project Management Professional, a certified Scrum Master and a Certified Software Quality Assurance (CSQA) professional, with deep knowledge of PMBOK, SDLC, CMMI, Six Sigma, ISO and CBOK. He has a proven track record of delivery based on strong strategic vision, and is skilled at developing, implementing and evaluating plans and at institutionalising processes, policies and procedures for continuous improvement.

In Generative AI for Strategic Planning, Zack brings his strategic, process and quality perspective to the use of tools such as ChatGPT, Claude and Microsoft Copilot in planning and decision-making. Learners cover generative AI fundamentals for strategic planning, use AI for environmental scanning and strategic analysis, and generate and evaluate strategic options. They then build the strategic plan with goals and KPIs and plan for execution, risk management and performance tracking. His experience of converting customer needs into workable processes helps participants turn AI-generated analysis into practical plans that teams can carry out, and his quality background encourages them to check AI output with care. With engaging facilitation, he ensures learners leave able to plan with greater speed and rigour.