Ten years ago, a fast reply meant a same-day email; today, customers expect an accurate answer within minutes, on whichever channel they happen to be using. That shift in expectation, more than any single piece of software, is what is pushing customer service organisations toward generative artificial intelligence – and it is reshaping the skills their teams need to keep up.

This programme from the Arab British Fellowship Training Academy gives participants a structured view of that transformation: how AI-powered tools are changing responsiveness and personalisation, how intelligent automation fits alongside human agents rather than replacing the judgement they bring, and what governance, data privacy, and ethical safeguards need to be in place before an organisation scales its use of AI. By weighing both the opportunities and the risks, the programme equips participants to support digital transformation, lift customer satisfaction, and keep their customer service strategy aligned with recognised professional practice.

Who Should Attend?

• Customer service professionals across public and private sectors.
• Contact centre supervisors and customer support managers.
• Team leaders responsible for customer experience and service quality.
• Professionals interested in applying generative AI to customer service operations.

Knowledge and Benefits

By the end of the programme, participants will be able to:

• Explain generative AI's role in the ongoing transformation of customer service.
• Assess how AI-powered technologies affect service quality and response efficiency.
• Identify current applications of generative AI within customer service operations.
• Apply the ethical, governance, and data-privacy principles that responsible AI use requires.
• Integrate intelligent technologies into a customer service strategy that improves satisfaction.

Module 1: The Shifting Ground of Customer Service

• How customer service has evolved and where generative AI fits into that evolution.
• Stages of digital transformation and the relationship between technology and service quality.
• Emerging trends in how service is delivered.

Module 2: What Generative AI Actually Does in Customer Service

• AI-powered virtual assistants and AI-generated communications.
• Supporting digital engagement channels.
• The role of intelligent automation in streamlining operations.

Module 3: Experience, Knowledge, and Data Working Together

• Personalising customer interactions and improving response speed and consistency.
• Organising knowledge repositories and using AI-generated knowledge resources.
• Analysing customer data sources to identify needs and support decision-making.

Module 4: Governance, Quality, and Ethics

• Service quality standards and governance frameworks for AI.
• Data protection and privacy principles.
• Responsible use, transparency in communications, and reducing bias in AI-supported services.

Module 5: Building a Future-Ready Strategy

• Planning digital transformation initiatives and integrating generative AI into operations.
• Measuring customer service performance indicators.
• Sustaining continuous improvement.

Module 6: What Comes Next

• Emerging technological innovations in customer service.
• The evolving relationship between human agents and AI.
• Preparing the organisation for what's ahead.