Generative AI in CX: Best Practices Guide for Customer Service
Understand how to apply generative AI to service channels to automate interactions, answer complex questions, and personalize communications based on customer history.
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Understand how to apply generative AI to service channels to automate interactions, answer complex questions, and personalize communications based on customer history.
Download Material
Explore how to apply generative AI to customer service to automate interactions across digital channels, answer questions with context from data and history, personalize communications at scale, and structure a secure implementation from start to finish. Unravel use cases, integration steps with systems such as CRM, flow definition and governance, and metrics to monitor the impact on efficiency and quality of experience.
Chatbots capable of handling complex questions, automation of tasks such as scheduling and order tracking, and advanced personalization based on historical and behavioral data.
24/7 availability, reduced average service time and operation with fewer bottlenecks, with also gains in retention and resolution at the first contact.
Strategic planning, choice of tools and partners, integration with systems, and structuring flows with tests before launch.
Good practices to protect data and reduce risks, such as consent and responsible collection, anonymization, audits for bias, guardrails, and transparency with the customer.
Specialized curatorship of the tech ecosystem
Applied knowledge, not just conceptual
Institutional and long-term vision
Proven experience with large operations
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