AI Agents for Customer Service

• An understanding of customer service workflows
• Basic knowledge of AI or automation concepts
• Experience with business process automation is helpful but not required

Audience

• Customer service managers
• Chatbot developers
• Business automation teams

AI-powered chatbots and virtual assistants are transforming customer service by automating responses, handling queries efficiently, and improving user experience.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level customer service professionals, chatbot developers, and automation teams who wish to implement AI-driven solutions for customer support and service automation.

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

• Understand the fundamentals of AI-powered customer support.
• Develop and integrate AI chatbots for handling customer queries.
• Leverage NLP and machine learning to enhance chatbot interactions.
• Deploy AI agents in real-world customer service applications.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Introduction to AI Agents in Customer Support

• What are AI-powered customer service agents?
• Use cases and benefits of AI chatbots in customer support
• Overview of conversational AI and NLP

Building AI Chatbots for Customer Service

• Choosing the right chatbot platform (Rasa, Dialogflow, GPT-based models)
• Designing conversational flows and user interactions
• Integrating chatbots with customer support systems

Natural Language Processing (NLP) for Customer Support

• Understanding intent recognition and entity extraction
• Training AI chatbots with NLP models
• Handling ambiguous and complex user queries

Automating Customer Service Workflows

• AI-powered ticketing and automated response systems
• Integrating AI chatbots with CRM and helpdesk platforms
• Personalization and contextual understanding

Deploying and Monitoring AI Agents

• Hosting AI chatbots on cloud platforms
• Monitoring performance and analytics
• Ensuring security and compliance in AI-driven customer support

Optimizing AI Chatbots for Better Engagement

• Improving chatbot accuracy and response quality
• Handling user feedback and continuous improvement
• Measuring customer satisfaction and chatbot success metrics

Future Trends in AI-Powered Customer Support

• Voice AI and multimodal interactions
• AI-powered sentiment analysis and emotional intelligence
• AI agents in omnichannel customer support

Summary and Next Steps