GenAI for Customer Experience: Strategic Prompting and Journey Innovation

Program Description

This two-day strategic program is designed for non-technical executives and CX leaders to move beyond reactive service into the era of AI-augmented hyper-personalization.
In the Malaysian corporate landscape, customer expectations are shifting toward instant, multilingual, and context-aware interactions.
This workshop focuses on the "Thinking Partner" model - leveraging Generative AI to bridge the gap between raw customer data and world-class experience design.
Participants will build proprietary, no-code workflows for journey mapping, sentiment analysis, and automated resolution scripts while ensuring structural compliance with DPA and national AIGE governance standards.

While this outline serves as a foundational framework with use cases from multiple industries and functions, the final program is fully customized to your industry and internal workflows.

Participants work on real-world problems, not generic examples. We engage in a pre-workshop alignment to inject your specific organizational datasets, pain points, and proprietary use cases directly into the curriculum.

Learning Objectives

Master Professional CX Prompting: Use structured frameworks (Role, Task, Context, Constraints) to generate high-fidelity customer personas, empathy maps, and service recovery scripts.
Accelerate the Experience Lifecycle: Prototype workflows for automated sentiment tagging, "Voice of the Customer" (VoC) synthesis, and personalized loyalty communications.
Execute Journey Simulations: Use GenAI to simulate "Customer Friction Points" and "Pre-mortem" service failures to build resilient, proactive support models.

Program Details

Content

Day 1: AI-Augmented Empathy & Journey Design

Module 1: The AI-Ready CX Leader

Shifting from “Support Management” to “Experience Orchestration.” Understanding the LLM architecture as a cognitive partner for complex customer journey design.
Scenario (Banking): A Head of CX uses GenAI to synthesize 1,000+ branch visit complaints, identifying three recurring friction points in the account opening process and drafting a simplified workflow.
Hands-on: Practice “Structured Prompting” – turning a vague customer pain point into a formal “Service Design Brief” including Objectives, Emotional Hooks, and Success Metrics.
Expected Impact: Immediate improvement in the clarity of CX strategy documents; foundation for safe AI usage in sensitive customer contexts.

Module 2: Hyper-Granular Personas & Empathy Mapping

Leveraging AI to build deep, data-backed customer personas that capture local Malaysian nuances (spending habits, language preferences, and cultural values).
Demo (Retail/E-commerce): Using AI to generate a 360-degree persona for a “Digital Native Gen Z” versus a “Silver Hair Shopper,” including their specific fears, motivators, and preferred communication channels.
Hands-on: The “Empathy Challenge” – participants use AI to create a detailed empathy map for a mock product launch, identifying hidden emotional triggers that traditional research often misses.
Expected Impact: 70% reduction in time spent on persona research; higher resonance in targeted marketing and service efforts.

Module 3: Journey Mapping & Friction Identification

Moving from static journey maps to dynamic AI-simulated experiences. Using AI to identify “Moments of Truth” where customers are most likely to churn.
Scenario (Telecommunications/Service): Analyzing a proposed “Onboarding Journey” and having the AI identify potential “Day 7” friction points, drafting proactive SMS/Email intervention scripts.
Hands-on: Input a service process flow → Use AI to generate a “Friction Audit,” highlighting high-effort touchpoints and suggesting no-code automation fixes.
Expected Impact: Ability to identify “loyalty leaks” before they impact the P&L; significantly improved customer retention strategies.

Module 4: AI for Executive CX Reporting & Buy-in

Using GenAI to structure persuasive “Voice of the Customer” (VoC) decks and translate “Sentiment Scores” into board-ready financial narratives.
Scenario: Turning a raw “NPS/CSAT” drop report into a 5-slide executive narrative that highlights the “Cost of Churn” and the required resource interventions.
Hands-on: Create a “Board-Ready” slide outline for a mock CX transformation project, converting raw customer feedback tables into concise executive summaries.
Expected Impact: Faster approval cycles for CX investments; more polished and data-driven executive communication.

Day 2: Resolution Excellence, Governance & Scale

Module 5: Automated Sentiment Synthesis & VoC

Mastering the art of using GenAI to categorize, summarize, and extract actionable insights from massive volumes of unstructured customer feedback.
Scenario (General Corporate): Taking 2,000+ open-ended survey comments and having the AI extract the top 5 “Must-Fix” issues and 10 “Delight” factors in under 5 minutes.
Hands-on: Build a “Sentiment Architect” prompt – create a customized assistant that can take a messy feedback log and turn it into a clean “Executive Insight Report” with prioritized action items.
Expected Impact: 80% reduction in manual feedback analysis time; 100% visibility into the real “Voice of the Customer.”

Module 6: Multilingual Service Recovery & Communication

Utilizing GenAI to generate high-empathy service recovery scripts and adapting communication for Malaysia’s multilingual landscape (EN, BM, CN).
Demo (Hospitality/Manufacturing): Inputting a serious product defect complaint and having the AI generate a tiered response strategy: a formal apology, a technical explanation, and a compensation offer.
Hands-on: The “Recovery Script” Challenge – input a negative viral review scenario and have the AI generate a customized response plan for social media and direct CRM.
Expected Impact: Proactive brand-safety management; ability to turn “Detractors” into “Promoters” using data-backed empathy.

Module 7: Responsible AI, PDPA & The CX Playbook

Defining the legal and ethical boundaries of AI in Customer Experience. Focus on data residency, ensuring PII is not leaked to public LLMs, and verifying AI accuracy.
Scenario (Healthcare/Insurance): Auditing an AI-generated health insurance claim explanation for potential inaccuracies and ensuring no sensitive NRIC or medical data was leaked.
Hands-on: Co-create a “Departmental CX-AI Playbook” – outlining do’s/don’ts, data anonymization steps, and “Human-in-the-loop” verification protocols for the CX team.
Expected Impact: Structural protection of corporate reputation; 100% compliance with PDPA 2.0 and national AIGE standards.

Module 8: The 90-Day CX Transformation Roadmap

Consolidating Day 1 & 2 into a practical rollout plan for the participant’s specific brand or service department.
The Framework: Prioritizing CX-AI initiatives based on Feasibility (Ease of adoption) vs. Impact (NPS Uplift/Cost-to-Serve reduction).
Hands-on: Develop a “CX Augmentation Backlog” – identifying 3 high-impact tasks (e.g., weekly sentiment reporting) to be augmented with GenAI.
Expected Impact: A clear, actionable path from training to execution; measurable KPIs for AI-driven customer excellence.

List of Deliverables

Upon completion of the program, participants will have produced a tangible “AI Portfolio” including:

Executive CX Presentation Toolkit: Ready-to-use slide outlines and executive summaries for HQ and Board submissions.
Corporate CX-AI Playbook: A co-created framework for safe, ethical, and PDPA-compliant AI deployment in customer-facing roles.
LinkedIn & GitHub Showcase: All mini-projects generated (Journey Maps, Sentiment Reports) are "portfolio-ready" for professional platforms.

Prerequisites

Technical Knowledge: No prior coding or technical AI experience is required. This is a non-technical program for business and service leaders.
Essential Equipment: Participants must bring a laptop with access to web-based tools (ChatGPT, Claude, etc.) and a sample (non-sensitive) customer feedback log or journey map.
Mindset: A willingness to challenge traditional "call-center" models and embrace "AI-Augmented Hyper-personalization."

Who Should Attend

Training Methodology

CX Ecosystem Lab: Hands-on application using actual industry briefs and anonymized customer datasets.
Applied Prompt Engineering: Interactive sessions focusing on psychological safety, emotional intelligence (EQ) in AI, and narrative verification.
Strategic Co-Design: Group sessions to build the corporate AI Playbook and phased 3-6 month adoption roadmap.

100% HRDC-Claimable

This program is fully registered and compliant with HRDC (Human Resource Development Corporation) requirements under the SBL-Khas scheme, allowing Malaysian employers to offset the training costs against their levy.

Certification of Completion

Participants who successfully complete the program will be awarded a “Professional Certificate in GenAI for Customer Experience.”

Post-Workshop Consulting (Optional)

For organizations looking to bridge the gap between training and execution, we offer optional, paid consulting services. These engagements provide expertise and technical support for specific pilot development or full-scale operational integration of the data- and AI-driven use cases established during the program.