Many professionals have experimented with AI tools like ChatGPT, Gemini or Copilot, but struggle to translate those experiments into consistent, reliable results at work. This one-day workshop is designed to bridge that gap.

This workshop transitions participants from being "doers" of manual tasks to becoming the Editor-in-Chief of their own AI-augmented workflows. Through the 3C Thinking Model and the Sandwich Principle (Human-AI-Human), participants will learn how to integrate AI naturally into their existing workflows, improving clarity, saving time, and reducing rework.

Course Pre-Requisites

• No software installation is required.
• Participants are encouraged to have a Gmail account.
• Please bring a laptop with internet access for the hands-on exercises.

Objective

By the end of this session, participants will be able to:

• Shift their mindset from treating AI as a search tool to using it as a thinking and drafting assistant
• Apply the 3C method (Clarity, Context, Continuation) to get more reliable AI outputs
• Use the Sandwich Principle to maintain accuracy, tone, and accountability
• Build a set of reusable prompts and a simple workflow tailored to their role
• Identify where AI can realistically save time and improve work quality

Outline

Part I. Reframing AI for Everyday Work

• Understanding what AI is good at and where human judgment is still essential
• Common mistakes professionals make when using AI at work
• Activity: Comparing vague instructions vs well-framed requests

Outcome: Participants understand how to brief AI clearly instead of hoping for
good answers.

Part II. Getting Better Outputs with the 3C Method

• Clarity: Defining what you want and what a ‘good outcome’ looks like
• Context: Providing background, audience, and constraints
• Continuation: Refining outputs through follow-up instructions
• Quality checks: How to review, validate, and correct AI-generated content

Outcome: Participants learn a simple, repeatable way to improve AI responses without technical skills.

Part III. Human–AI–Human Workflows

• The Human–AI–Human approach: where to involve AI and where humans add the most value
• Applying AI to common workplace tasks like:
  • Emails and stakeholder communication
  • Meeting summaries and reports
  • Long documents and presentation outlines
• Managing tone, accuracy, and professional responsibility

Outcome: Participants learn how to integrate AI into real work processes safely.

Part IV. The Workflow Team Challenge

• Group brainstorm to identify repetitive, high-effort tasks in their actual work
• Break the task into simple steps where AI can assist
• Design a basic workflow using prompts
• Test and refine the workflow using real tools (e.g. ChatGPT, Gemini or Copilot)

Outcome: Each participant or group leaves with a usable AI-supported workflow.

Conclusion – From Learning to Application

• Group sharing of workflows and practical use cases
• Reflection on how participants can apply AI responsibly in their roles
• Next steps for building confidence and consistency with AI at work

Who should attend

Corporate professionals, managers, team leads, and support functions who:

• Have basic exposure to AI tools but are unsure how to apply them effectively at work
• Want practical, low-risk ways to use AI for communication, analysis, and documentation
• Are responsible for quality, accuracy, and professional judgment in their outputs

Methodology

This workshop is highly interactive and practical. Participants will engage in live demonstrations, hands-on exercises, small group discussions, and a structured team challenge. The learning approach emphasises application over theory, enabling participants to immediately test and refine AI-supported workflows using real workplace scenarios.

Testimonial

Charlene Zita Eng's Profile

Generative AI Trainer & Facilitator

Charlene Zita Eng is a Generative AI Trainer and Facilitator with more than 18 years of cross-industry experience spanning financial services, business operations, marketing, and adult education. She supports corporate teams, financial practitioners, and entrepreneurs in integrating Generative AI into their workflows with confidence, clarity, and a strong sense of responsibility.

Her expertise lies in making complex technologies accessible and actionable. Charlene designs learning experiences that translate AI concepts into step-by-step applications aligned with real workplace demands, enabling participants to move from awareness to meaningful productivity improvements. Her programmes emphasise practical use cases, decision-making, and sustainable adoption rather than theory alone.

Charlene has delivered training for organisations including Standard Chartered Bank, Seatrium, and NTUC (OTCi), and is recognised for her ability to engage diverse audiences across both regulated and non-regulated sectors. Drawing from her professional background, she bridges strategy with day-to-day execution, helping learners understand not only what AI can do, but how to apply it effectively within their roles.

Known for her facilitative and people-centred approach, Charlene creates supportive learning environments where participants feel comfortable asking questions, experimenting with tools, and reflecting on new ways of working. Her sessions are interactive, relevant, and grounded in practical realities, ensuring learners leave with greater confidence, capability, and immediately usable skills.