Mastering Generative Ai For Effective Work Performance (1 Day)

Date : 10/07/2026
Time : 9:00 am - 5:00 pm
Location : The HUB @ Jaya One, PJ

Contact Person : Esther Yong
Email : inquiry@knowledgehub-asia.com
Mobile : +012-2662728
Office Tel : +603-7622 0578
Normal Rate : MYR 0.00
Promotion Rate : Contact us for discounted rate.

Executive Summary

Generative AI is a “magnifier,” not a magician. When applied to inefficient workflows fragmented across rigid, costly systems like ERPs or CRMs, it magnifies chaos. Many AI training programs focus on individual “Prompt Engineering” tricks, which fail to scale and do not preserve data fidelity.

This program is different. It is a strategic briefing for leaders, designed to provide a high-level view of AI’s logical processes. We teach “Contextual Engineering” – a systematic, non-technical discipline for defining AI tasks. This approach gives leaders the framework to troubleshoot strategically, build a scalable action plan, and use GenAI as a “strategic bridge” to connect information gaps.

Attendees will leave with a clear diagnostic framework to analyze their team’s processes and decide the right solution for the right problem—whether it requires simple automation, an AI-assisted workflow, or a fully autonomous AI agent.

Learning Objectives

1. To demonstrate why individual AI adoption fails at a team level (the “magnifier effect”) so leaders can identify strategic risks.
2. To provide a hands-on understanding of the logical processes (C.R.A.F.T., “best-fit”) enabling leaders to troubleshoot strategically rather than become technical experts.
3. To introduce a high-level diagnostic framework for evaluating a workflow’s data, adaptability, and reliability, enabling leaders to decide on the “best-fit” solution (Automation vs. AI Workflow vs. AI Agent).
4. To establish the business case for a full, in-house action plan (the Workflow Audit), where this strategic framework can be applied systematically.

Learning Outcomes

Upon completion of this program, participants will be able to:

1. Explain the strategic risk of the “magnifier effect” and articulate the difference between “Prompt Engineering” (individual) and “Contextual Engineering” (systematic).
2. Apply the R.A.F.T. framework to understand the logical process of building a high-fidelity prompt.
3. Evaluate different LLM outputs to practice “best-fit” strategic decision-making for their team’s
4. Use a strategic framework to analyze a business process and recommend the correct solution (e.g., simple Automation for a high-reliability, structured-data task vs. an AI Agent for a low-reliability, unstructured-data task).
5. Deconstruct a workflow into its core “Constants” and “Variables” to create a high-level action plan for their team.

For registration please Contact :

Email : inquiry@knowledgehub-asia.com
Contact Person : Esther Yong
Mobile : +012-2662728
Office Tel : +603-7622 0578