AI for HR in Practice: From Skills to Work Redesign, Hong Kong

AI can already help HR professionals draft content, build presentations, analyze data and organize information. But simply adding AI to existing ways of working only takes us so far. The next step is to rethink how work itself gets done.

This practical course helps HR professionals progress from ad-hoc AI use to structured, repeatable and scalable ways of working. Through demonstrations, exercises and real HR scenarios, participants will learn how to:

• Create higher-quality outputs with AI
• Turn effective approaches into reusable Skills
• Build HR expertise and judgement into those Skills
• Connect multiple Skills into end-to-end HR Workflows

Course at a Glance

Duration	2 days
Format	In-person, hands-on learning
Date	19 and 20 November, 2026
Time	9:30 am – 17:00 pm each day (12 learning hours)
Language	Cantonese
Location	Hong Kong Office, Marsh, People and Investments 28/F, FWD Tower, Taikoo Place, 979 King's Road, Quarry Bay, Hong Kong
Device	Bring Your Own Device (BYOD) – Please bring a personal or corporate laptop that allows access to and installation of the AI tools used during the course, subject to your company’s IT policy.
Requirements	No coding experience required; a unified AI tool will be used during the course; demos and real-life scenarios
A certificate will be provided	Yes

Who Should Attend

• HR professionals who want to improve the quality and efficiency of their work using AI
• HRBPs, C&B, COE professionals and HR managers who regularly create reports, analyse data or work with complex information
• Professionals who want to turn personal expertise and successful ways of working into repeatable methods
• HR professionals who have started experimenting with AI and are ready to move from ad-hoc use to more systematic application

What You Will Gain

• Make high-quality outputs consistent with AI: Start with the business objective, audience and key message, then structure content, evidence and communication to create work-ready outputs.
• Turn data into business insights faster: Use AI to structure analysis, work with complex data, identify meaningful patterns and translate findings into management insights and recommendations.
• Reuse what works: Convert one good result into a repeatable Skill you can run again, by defining the use case, inputs, process, outputs and quality standards behind a task so that effective ways of working can be tested and reused.
• Build HR expertise into AI: Incorporate HR rules, professional judgement, risk boundaries, exceptions and quality criteria into AI-enabled work for real HR scenarios.
• Connect Skills into end-to-end HR Workflows: Design task sequencing, information hand-offs, decision points, human review and exception handling across a complete HR workflow.

What You Will Take Away in Two Days

• A high-quality, AI-assisted PowerPoint output
• A data analysis model or management analysis result
• An AI Skill that you have built and tested yourself
• An HR-specific Skill enhanced with professional knowledge and quality standards
• An HR Workflow blueprint or initial prototype connecting multiple Skills
• An HR work-redesign plan that you can continue developing after the course

High-Quality Outputs → Data & Decisions → Reusable Skills → HR-Specific Skills → HR Workflows → Work Redesign 

Day 1 – From Completing Tasks to Building Reusable AI Skills

Day 1 starts with familiar, high-frequency workplace scenarios. Participants first experience how AI can support high-quality work, then unpack the methods behind those results and turn them into repeatable Skills.

Module 1 – Create Work-Ready Outputs with AI

• Start with the business task and audience rather than a single prompt
• Identify the key message and structure supporting content and evidence
• Turn complex information into clear and professional PowerPoint communication
• Evaluate AI-generated work against defined quality standards
• Improve the relationship between conclusions, content, evidence and visual communication

You will create:

• A high-quality PowerPoint page or set of pages
• A repeatable AI-enabled approach for producing professional work outputs

Module 2 – Build Data Analysis Models with AI

• Define a task based on a management or business question
• Understand, organize and validate complex data
• Connect business questions with relevant metrics and data
• Use AI to support data processing, analysis and interpretation
• Translate findings into management insights and recommendations

You will create:

• A data analysis model or analysis output
• Key findings and recommendations for managers and leaders

Module 3 – From Good Results to Repeatable Skills

The PowerPoint and data analysis outputs earlier in the course are not the result of a single “magic prompt”—they are produced with the support of Skills. In this module, we will fully unpack the methods behind those results.

• Understand the difference between a conversation, a prompt and a Skill
• Learn the core components of a usable Skill: use case, inputs, process, outputs and standards
• Translate personal experience into a method that AI can understand and execute
• Test a Skill with new materials and improve it based on the results

Module 4 – Build Your First AI Skill

• Choose a recurring task from your own work and build an initial Skill during the session
• Test the Skill using suitable materials and review the output
• Learn a practical method for continued testing and improvement

You will create:

• Your own Skill V0.1
• A test case and initial output
• A practical method for improving your Skill

Day 1 After-class Challenge – Put Your Skill to Work

Between the two course days, test your Skill using real or simulated materials. Capture what worked, what did not, and what you would change, then bring your experience back for discussion on Day 2.

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Day 2 – From Individual Skills to HR Workflows

Day 2 takes the next step: adding HR expertise and professional judgement to your Skills, then connecting multiple Skills to support an end-to-end HR process.

Module 1 – Skill Show: Test, Share and Improve

Participants will present the Skill they built on Day 1 in small groups, observe how it performs on real materials, and identify improvement opportunities based on both successful and unsuccessful results.

• Assess whether the Skill solves a clear and real-life problem
• Review whether inputs, process and outputs are sufficiently defined
• Test whether the Skill continues to perform consistently with new materials
• Identify which issues can be addressed through better Skill design and which require human judgement

Module 2 – From Generic AI Skills to HR-Specific Skills

A Skill that completes a task is not yet professionally valuable—it must also embed business rules, decision criteria, boundaries, and quality standards. Participants will choose an HR scenario (e.g., recruitment, performance, or compensation) and further refine their Skill.

• Define the HR problem the Skill needs to address
• Identify the materials, rules and professional knowledge it needs
• Separate activities that can be supported by AI from decisions that require human judgement
• Build in risk boundaries, exceptions and quality checks
• Test and refine the Skill using new materials

You will create:

• An HR-specific Skill enhanced with professional knowledge
• A set of professional judgement and quality-check criteria

Module 3 – Connect Multiple Skills into an HR Workflow

Only when multiple Skills are connected effectively can AI move beyond single tasks to support an end-to-end piece of work.

• Break down an HR process into key stages
• Determine which Skill should support each stage
• Design task sequences and information hand-offs
• Introduce decision branches, human review and exception handling
• Define the final output and quality standards for the overall Workflow

You will create:

• An HR Workflow blueprint or initial prototype
• A clear model of how people and AI work together across the Workflow

Module 4 – Redesigning HR Work for the AI Era

To close the course, we will return to the key questions every HR professional must answer in the AI era:

• Identify repetitive activities that can be supported or handled by AI
• Clarify which professional judgements should remain with HR
• Explore how individual expertise can become reusable capability for a wider team
• Redesign work rather than simply adding AI to existing processes
• Identify a real use case to start with in your own organization

You will create:

• An initial HR work-redesign plan for yourself or your team
• One practical use case that can be taken forward within the next 7–14 days