Back to programme
AI-025 Artificial Intelligence and Machine Learning
PROGRAMME BROCHURE

AI for Customer Service

Five days of practical AI application, governance and implementation for Customer Service.

Duration 5 days
Level Professional
Programme AI-025
KAIZEN EUROPEAN ACADEMY Executive & Professional Development www.kaizeneurope.academy
01

Programme Overview

This five-day Kaizen European Academy programme focuses specifically on AI for Customer Service in the context of AI solution design, conversational systems, automation and governance for customer-service functions. Its scope is intentionally different from similarly titled courses elsewhere in the catalogue. Participants develop applied methods, controls, decision tools and an implementation plan tailored to this professional environment.

02

Learning Objectives

Explain the AI, generative AI and automation concepts most relevant to Customer Service.
Identify and prioritize high-value AI use cases in Customer Service.
Design practical human-AI workflows and validate AI outputs for Customer Service.
Manage privacy, bias, security, governance and human-oversight risks when using AI in Customer Service.
Build a practical AI pilot and implementation roadmap for Customer Service.

Who Should Attend

Professionals, specialists, supervisors and managers whose responsibilities involve ai for customer service or who need to build practical capability in this area.

Programme Methodology

Instructor-led explanation, facilitated discussion, subject-specific case studies, practical templates, individual and group exercises, simulations or technical scenarios where appropriate, peer review and a final implementation workshop.

Learning Outcomes

Explain the AI, generative AI and automation concepts most relevant to Customer Service. Identify and prioritize high-value AI use cases in Customer Service. Design practical human-AI workflows and validate AI outputs for Customer Service. Manage privacy, bias, security, governance and human-oversight risks when using AI in Customer Service. Build a practical AI pilot and implementation roadmap for Customer Service.

Prerequisites

No formal prerequisite is required. Relevant professional experience is helpful; technical courses may assume basic familiarity with the operating environment.

03

Course Outline

Day01

AI Foundations for Customer Service — Ai Solution Design, Conversational Systems, Automation And Governance For Customer-Service Functions

  • AI capabilities, limitations and business value
  • Machine learning, generative AI and large language model concepts
  • Selecting high-value AI use cases
  • Applied AI for Customer Service decisions in the context of AI solution design, conversational systems, automation and governance for customer-service functions
Day02

AI Use Cases and Workflow Design in Customer Service — Ai Solution Design, Conversational Systems, Automation And Governance For Customer-Service Functions

  • Prompt design and interaction patterns
  • Human-AI workflow design
  • AI-assisted analysis and decision support
  • Applied AI for Customer Service decisions in the context of AI solution design, conversational systems, automation and governance for customer-service functions
Day03

AI Tools, Data and Automation for Customer Service — Ai Solution Design, Conversational Systems, Automation And Governance For Customer-Service Functions

  • Evaluating accuracy, hallucination and output quality
  • AI governance and accountability
  • Bias, fairness and responsible AI
  • Applied AI for Customer Service decisions in the context of AI solution design, conversational systems, automation and governance for customer-service functions
Day04

Responsible AI, Risk and Governance in Customer Service — Ai Solution Design, Conversational Systems, Automation And Governance For Customer-Service Functions

  • Model risk and human oversight
  • AI adoption and change management
  • AI value measurement and ROI
  • Applied AI for Customer Service decisions in the context of AI solution design, conversational systems, automation and governance for customer-service functions
Day05

Applied AI Lab: Customer Service Implementation — Ai Solution Design, Conversational Systems, Automation And Governance For Customer-Service Functions

  • Vendor and platform evaluation
  • AI policy and acceptable-use controls
  • Practical AI workflow prototyping
  • Applied AI for Customer Service decisions in the context of AI solution design, conversational systems, automation and governance for customer-service functions
04

What You Will Receive

Programme learning materials
Practical resources and templates where applicable
Kaizen completion certificate
Participant support throughout the learning week
Kaizen European Academy

Executive & Professional Development across selected European destinations.

CONTACT & INFORMATION

Website: www.kaizeneurope.academy
Contact: www.kaizeneurope.academy/#contact