ADGM Academy

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School of Artificial Intelligence

AI for Customer Experience & Service Operations Programme

Schools Schools of Artificial Intelligence AI for Customer Experience & Service Operations Programme

Programme Overview

AI now sits at the core of modern service centres across both corporate and government contexts. In this applied, two-day programme, participants will design and test AI-augmented workflows for contact centres and back-office operations. Through hands-on labs, participants will build agent-assist and automation patterns, multilingual support, and quality controls that work in real environments. Participants leave with a service-journey redesign and a ready-to-use agent-assist response library. 

Programme Benefits Programme Modules ADGM Academy ADGM Academy Certificate of Completion Two Days
Programme Benefits
Participants will map interactions to deflection, augmentation, or human handling to reduce handle time and backlog. They will define containment targets and escalation rules that protect the quality of the customer experience.
Participants will blend agent-assist, automation, and human expertise to lift first-contact resolution. Freed capacity is reassigned to complex cases with clear role, skill, and workflow changes.
Participants will use Arabic and English agent-assist and chat tools with terminology control and quality checks. Consistency is maintained across channels with governance for language quality and response times.
Participants will use AI-driven QA to review interactions, surface coaching insights, and enforce policy. Bias, inaccuracies, and data leakage are monitored with measurable guardrails built in from the start.
Who is the Programme for?

This programme is for CX leads, operations managers, and contact-centre supervisors in corporate and government service environments. 

Registration Form

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* Please note: This programme is available only to corporate groups. Individual signups are not eligible.
Learning Modules

Module 1: Autonomous Resolution Basics 
Distinguish deflection from augmentation and specify the data, policies, and thresholds required for autonomous resolution in your environment. 

Module 2: Agent-Assist Multilingual 
Configure and test agent-assist tools with Arabic, English, and additional languages, evaluating accuracy, latency, and usability in live scenarios. 

Module 3: Knowledge Base Engineering 
Structure knowledge content, retrieval prompts, and metadata so AI answers are accurate, referenceable, and compliant. 

Module 4: Chatbot and Escalation Design 
Scope chatbot use cases, set containment and success metrics, and design escalation paths to human agents with full context handover.  

Module 5: Quality and Workforce Redeployment 
Implement AI-enabled QA at scale and redeploy human agents to higher-complexity work with updated workflows and coaching plans.

Module 6: Service Blueprint Capstone 
Build an AI-enabled service blueprint for one priority customer journey and produce an agent-assist response library ready for rollout. 

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