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"item_title" : "AI Customer Service Operations",
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"item_description" : "CUSTOMERS do not care which model your company bought. They care whether the answer is right, the handoff works, and someone owns the outcome. AI Customer Service Operations is a practical implementation course for customer-service leaders, contact-center managers, quality teams, and operations professionals who need to put AI to work without losing control of the customer experience. Across 30 structured modules, you will learn how to: - find the service problems worth solving before choosing a tool;- build a defensible business case with a baseline and full-cost view;- design grounded knowledge, agent copilots, chatbots, and human handoffs;- test answer quality, privacy, accessibility, security, and escalation;- run a bounded pilot, measure customer outcomes, and decide what to scale. Inside are original workflow diagrams, guided implementation exercises, worked fictional cases, decision records, scorecards, review routines, customer-language examples, and a 90-day deployment roadmap. The book draws on established risk and security guidance, while translating it into day-to-day service operations. This is not a promise of instant savings or a vendor manual. It is a working playbook for teams that want useful automation, visible accountability, and customer trust built into the operating model.",
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AI Customer Service Operations : A Practical Playbook for Deploying AI Copilots, Knowledge Systems, and Chatbots While Protecting Customer Trust
by Nour G
Overview
CUSTOMERS do not care which model your company bought. They care whether the answer is right, the handoff works, and someone owns the outcome.
AI Customer Service Operations is a practical implementation course for customer-service leaders, contact-center managers, quality teams, and operations professionals who need to put AI to work without losing control of the customer experience. Across 30 structured modules, you will learn how to:- find the service problems worth solving before choosing a tool;
- build a defensible business case with a baseline and full-cost view;
- design grounded knowledge, agent copilots, chatbots, and human handoffs;
- test answer quality, privacy, accessibility, security, and escalation;
- run a bounded pilot, measure customer outcomes, and decide what to scale. Inside are original workflow diagrams, guided implementation exercises, worked fictional cases, decision records, scorecards, review routines, customer-language examples, and a 90-day deployment roadmap. The book draws on established risk and security guidance, while translating it into day-to-day service operations. This is not a promise of instant savings or a vendor manual. It is a working playbook for teams that want useful automation, visible accountability, and customer trust built into the operating model.
This item is Non-Returnable
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Details
- ISBN-13: 9798165616372
- ISBN-10: 9798165616372
- Publisher: Independently Published
- Publish Date: October 2026
- Dimensions: 9 x 6 x 0.43 inches
- Shipping Weight: 0.61 pounds
- Page Count: 202
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