The British Academy for Training and Development offers this training program in Customer Service in the Age of Generative Artificial Intelligence to provide participants with a comprehensive understanding of the rapid transformation taking place in customer service through the adoption of generative artificial intelligence technologies.

The program explores how AI-powered solutions are reshaping customer interactions by enhancing responsiveness, improving service quality, and delivering more personalized customer experiences. It also examines the role of intelligent automation in streamlining service operations while maintaining an appropriate balance between digital technologies and human engagement. In addition, the program highlights the principles of responsible AI adoption, including governance, data privacy, transparency, and ethical considerations in customer communications. By addressing both the opportunities and challenges associated with generative AI, the program equips participants with the knowledge required to support organizational transformation, improve customer satisfaction, and align customer service strategies with modern business expectations and internationally recognized professional practices.

Who Should Attend?

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

Knowledge and Benefits:

After completing the program, participants will be able to master the following:

• Understand the concept of generative artificial intelligence and its role in transforming customer service.
• Identify the impact of AI-powered technologies on service quality and response efficiency.
• Explore modern applications of generative artificial intelligence in customer service operations.
• Understand the ethical, governance, and data privacy principles related to the use of artificial intelligence.
• Strengthen the ability to integrate intelligent technologies into customer service strategies to enhance customer satisfaction.

• Introduction to Customer Service in the Age of Generative AI
  • Evolution of customer service.
  • Fundamentals of generative artificial intelligence.
  • Relationship between technology and service excellence.
• Digital Transformation in Customer Service
  • Stages of digital transformation.
  • Role of intelligent automation.
  • Emerging trends in customer service delivery.

• Applications of Generative AI in Customer Service
  • AI-powered virtual assistants.
  • AI-generated customer communications.
  • Support for digital customer engagement channels.
• Customer Experience Management with Intelligent Technologies
  • Personalizing customer interactions.
  • Improving response speed and service consistency.
  • Enhancing customer satisfaction and loyalty.

• Knowledge Management for Customer Service Teams
  • Organizing knowledge repositories.
  • Leveraging AI-generated knowledge resources.
  • Improving access to customer information.
• Customer Data Analysis
  • Sources of customer data.
  • Identifying customer needs and expectations.
  • Supporting data-driven decision-making.

• Quality and Governance in AI-Enabled Customer Service
  • Service quality standards.
  • Governance frameworks for artificial intelligence.
  • Data protection and privacy principles.
• Ethics and Professional Responsibility
  • Responsible use of artificial intelligence.
  • Transparency in customer communications.
  • Reducing bias in AI-supported services.

• Developing a Future-Oriented Customer Service Strategy
  • Planning digital transformation initiatives.
  • Integrating generative AI into customer service operations.
  • Measuring customer service performance indicators.
• Future Trends in Customer Service
  • Emerging technological innovations.
  • The future of human–AI collaboration in customer service.
  • Sustaining continuous improvement in customer service.