Role-Based Programme
RB1280
AI for Complaint & Escalation Management
Smarter Resolution, De-Escalation & Customer Recovery
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Duration
4 Hours
Level
Awareness
Delivery
Instructor-Led
Format
Awareness Session
Programme Objectives
- Understand how AI can support Complaint and Escalation Management across issue analysis, de-escalation, resolution planning, communication, and reporting.
- Explore practical AI applications for identifying complaint themes, customer sentiment, urgency, risk, and escalation requirements.
- Apply structured prompting techniques to create complaint summaries, response drafts, investigation questions, and resolution plans.
- Use AI to improve productivity across complex-case reviews, stakeholder coordination, customer recovery, and recurring-issue analysis.
- Recognise customer privacy, confidentiality, reputational risk, legal sensitivity, factual accuracy, and human-review requirements when using AI for escalated cases.
Tools covered
Generative AI AssistantsComplaint AnalysisSentiment & Intent AnalysisEscalation SummarizationResponse DraftingRoot-Cause Analysis SupportResolution PlanningCustomer CommunicationAI-Powered Reporting & Productivity Tools
Who should attend
- Complaint Management Executives
- Complaint Resolution Managers
- Escalation Managers
- Customer Escalation Specialists
- Customer Service Managers
- Customer Support Managers
- Customer Experience Managers
- Customer Success Managers
- Service Recovery Professionals
- Customer Care Managers
- Grievance Handling Professionals
- Quality Assurance Professionals
- Customer Relations Managers
- Contact Centre Supervisors
- Complaint & Escalation Management Team Leads
Prerequisites & Participant Readiness
- Basic understanding of customer-service, complaints, or escalation processes
- Familiarity with customer issues, service recovery, or stakeholder communication is helpful
- Basic communication, problem-solving, and analytical skills
- No programming or technical AI knowledge required
- No previous AI-tool experience required
TOC Modules
Concepts
- Understanding Generative AI and its relevance to complaint and escalation handling
- Exploring AI applications across complaint analysis, prioritization, communication, resolution, and reporting
- Understanding the difference between AI assistance, workflow automation, and human judgement
- Recognising AI limitations, hallucinations, incomplete context, and inappropriate resolution suggestions
Practical activities
- Identifying high-value AI applications across a typical complaint-management workflow
- Comparing a traditional complaint-review task with an AI-assisted approach
Scenarios
Serious Customer Complaint to Resolution Plan
Customer Complaint → AI-Assisted Analysis → Severity & Sentiment → Missing Facts → Investigation → Resolution Options → Customer Response
Participants use AI to analyse a complex customer complaint, identify its severity and information gaps, and prepare a structured resolution and communication plan for management review.
Recurring Escalations to Service Improvement
Escalation Cases → AI-Assisted Theme Analysis → Recurring Issues → Possible Causes → Customer Impact → Corrective Actions → Management Summary
Participants use AI to analyse a set of complaint and escalation cases, identify recurring themes and service weaknesses, and prepare a structured improvement summary for operational stakeholders.
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