AI-Augmented Customer Service Centre Management Training Course

AI-Augmented Customer Service Centre Management Training Course

Advanced | 5 days | Face to Face / Online | Certificate
01

Course Overview

Course Summary
Course Title AI-Augmented Customer Service Centre Management Training Course
Organization Tech For Development (T4D)
Venue Tech For Development (T4D) Training Centre
Duration 5 days
Target Industries
Target Job Roles
Course Fees (Face-to-Face) USD 1,500/KES 99,000 (Exclusive of VAT)
Course Fees (Virtual) USD 1,000/KES 70,000 (Exclusive of VAT)
Training Modes Virtual and face-to-face training
Payment Payment should be made to the Tech For Development (T4D) bank account on or before the start of the course
Accreditation Tech For Development Certificate of Course Completion

Course Overview

This comprehensive training program is designed to equip Business Process Outsourcing (BPO) professionals with the knowledge and practical skills required to implement, manage, and optimize AI-powered customer service operations. The course provides a detailed understanding of artificial intelligence technologies, virtual assistants, chatbots, agent-assist tools, customer journey optimization, and service quality enhancement within modern customer contact environments.

Participants will gain practical experience in integrating AI solutions into customer service workflows, improving operational efficiency, enhancing customer satisfaction, and balancing human and AI collaboration. The course combines industry best practices, practical case studies, and real-world implementation scenarios to prepare organizations for the future of customer experience management.

Course Duration

5 Days

Target Participants

• Customer Experience Managers
• Contact Centre Managers and Supervisors
• BPO Operations Managers
• Customer Service Team Leaders
• Digital Transformation Specialists
• Customer Support Professionals
• Workforce Management Personnel
• ICT and AI Solution Specialists
• Quality Assurance Officers
• Business Process Improvement Professionals

Personal Impact

• Develop advanced skills in managing AI-powered customer service operations.
• Gain expertise in chatbot and virtual assistant implementation.
• Strengthen capabilities in customer journey optimization.
• Improve competence in workforce transformation and AI adoption.
• Build knowledge of customer analytics and sentiment analysis.
• Enhance readiness for leadership roles in AI-enabled service environments.

Organizational Impact

• Improved customer satisfaction and service consistency.
• Increased operational efficiency and cost optimization.
• Enhanced service delivery through automation and intelligent routing.
• Better workforce productivity and resource utilization.
• Faster response times and issue resolution.
• Improved competitiveness through AI-driven customer engagement.

Course Objectives

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

• Understand AI technologies and their application in customer service operations.
• Design and implement AI-augmented customer service strategies.
• Optimize customer interactions across multiple service channels.
• Utilize analytics and sentiment analysis to improve customer experiences.
• Manage workforce transformation resulting from AI adoption.
• Apply best practices for governance, ethics, and performance management in AI-enabled customer service environments.

02

Course Modules

Course Modules

Module 1: Foundations of AI-Augmented Customer Service

• Evolution of customer service technologies
• Introduction to Artificial Intelligence in customer support
• AI-powered customer engagement models
• Benefits and challenges of AI adoption in BPO
• Emerging trends in AI customer service

Case Study & Practical Application: Analysis of a customer service center transitioning from traditional call handling to AI-assisted service delivery and identification of operational improvement opportunities.

Module 2: Chatbots, Virtual Assistants and Conversational AI

• Types of AI-powered customer support tools
• Chatbot design and development principles
• Natural Language Processing (NLP) fundamentals
• Virtual assistants and conversational interfaces
• Human-agent escalation management

Case Study & Practical Application: Designing a chatbot workflow for handling customer inquiries while maintaining seamless escalation to live agents.

Module 3: Omnichannel Customer Experience Optimization

• Omnichannel service delivery concepts
• Integrating voice, email, chat, social media, and messaging platforms
• Customer journey mapping techniques
• Personalization through AI technologies
• Customer interaction orchestration

Case Study & Practical Application: Developing an omnichannel customer journey framework for a multinational BPO service provider.

Module 4: Customer Analytics, Sentiment Analysis and Performance Measurement

• Customer data collection and analysis
• Sentiment analysis techniques
• Customer behavior analytics
• Service performance indicators and KPIs
• AI-powered reporting dashboards

Case Study & Practical Application: Analyzing customer interaction data to identify service gaps and recommend customer experience improvement initiatives.

Module 5: Workforce Transformation, Governance and Future Trends

• Human-AI collaboration models
• Workforce reskilling and change management
• AI governance and ethical considerations
• Data privacy and compliance requirements
• Future trends in AI-powered customer service

Case Study & Practical Application:

Developing an AI adoption roadmap and workforce transformation strategy for a BPO customer service operation.

03

Course Administration

Methodology

Instructor-led sessions use a blended learning approach combining presentations, guided practical exercises, web-based tutorials, and group work, delivered by seasoned industry experts. All facilitation and course materials are in English, so participants should be reasonably proficient in the language.

Accreditation

Upon successful completion of this training, participants will be issued a Tech For Development Certificate of Course Completion

Training Venue

The training will be held at the Tech For Development Training Centre. The course fee covers the course tuition, training materials, two break refreshments, and lunch. All participants will additionally cater to their travel expenses, visa application, insurance, and other personal expenses.

Accommodation & Airport Transfer

Arranged upon request.For reservations contact the Training Officer:
Email: [email protected]
Phone: (+254) 790 824 179

Tailor-Made

This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our T4D Training Centre or at a convenient location.

Payment

Payment should be transferred to the T4D account through a bank on or before the start of the course. Send proof of payment to [email protected].

Course Reviews

Based on 0 participant feedback

No reviews yet for this course. Be the first to share your experience!

Write a Course Review

Please share your honest feedback below.

5 / 5 (Excellent)
Date Cost
2026 Schedules
Nairobi
23 Nov - 27 Nov
KES 99,000 |
$1,500
Register
14 Dec - 18 Dec
KES 99,000 |
$1,500
Register
Johannesberg
Mombasa
Kigali
Addis Ababa
Kuala Lumpur
Accra
Cairo
Cape Town
Pretoria
Dar es Salaam
Naivasha
Kisumu
Arusha
Machakos
Nakuru
Kampala
Dubai
Zanzibar
2027 Schedules
Dar es Salaam
25 Jan - 29 Jan

$2,100
Register
22 Feb - 26 Feb

$2,100
Register
15 Mar - 19 Mar

$2,100
Register
26 Apr - 30 Apr

$2,100
Register
24 May - 28 May

$2,100
Register
28 Jun - 02 Jul

$2,100
Register
26 Jul - 30 Jul

$2,100
Register
23 Aug - 27 Aug

$2,100
Register
27 Sep - 01 Oct

$2,100
Register
25 Oct - 29 Oct

$2,100
Register
22 Nov - 26 Nov

$2,100
Register
20 Dec - 24 Dec

$2,100
Register
Kigali
Addis Ababa
Kuala Lumpur
Accra
Cairo
Pretoria
Cape Town
Johannesberg
Zanzibar
Arusha
Kisumu
Dubai
Mombasa
Nairobi
Nakuru
Machakos
Naivasha
Kampala