AI‑Powered CX Contact Centre Team Leadership Skills
CX contact centres operate in a high‑pressure environment where customers expect fast, accurate and empathic responses across every interaction.
Programme Overview
CX contact centres operate in a high‑pressure environment where customers expect fast, accurate and empathic responses across every interaction. Team Leaders are under constant pressure to manage performance, reduce escalations and maintain service levels while supporting diverse personalities and experience levels in their teams.
The
AI‑Powered CX Contact Centre Team Leadership Skills
program strengthens the capability of Team Leaders to lead high‑performing customer service teams in a fast‑changing, AI‑enabled environment. The training blends traditional leadership excellence with practical AI‑powered tools that enhance coaching, quality management, performance improvement and predictive team leadership.
Team Leaders learn how to use AI to analyse customer interactions, identify behavioural patterns, elevate service quality and guide agents toward consistent high performance. They also learn structured approaches for managing underperformers, preventing performance decline and building a proactive, high‑performance CX culture.
The result is a future‑ready leadership team that combines human insight with AI‑enabled capability to deliver exceptional customer experiences consistently.
Class Size & Target Audience
Maximum 20 participants per group.
CX Contact Centre Team Leaders
Supervisors and Senior Agents moving into leadership roles
Quality Assurance Leads and Service Coaches
Contact Centre Managers responsible for frontline teams
Duration: 2 days
Objectives
- Lead CX contact centre teams with confidence, clarity and service focus
- Strengthen coaching, feedback and performance management skills
- Manage underperformers using structured, predictive and preventive strategies
- Reduce escalations by improving communication, ownership and emotional control
- Build a high‑performance CX culture based on accountability and continuous improvement
- Use AI tools to analyse calls, chats and customer sentiment for coaching insights
- Identify behavioural patterns, skill gaps and performance risks using AI‑generated data
- Apply AI to support predictive and preventive team leadership decisions
- Use AI dashboards to make real‑time decisions on queues, service levels and priorities
- Leverage AI to design coaching plans, recognition routines and performance interventions
Programme Outline
Program Outline
- Day 1 – AI‑Powered Leadership, Coaching & Managing Underperformers
- AI‑Powered Leadership Foundations
- Understanding the modern CX landscape and the role of AI in elevating team performance
- How AI enhances decision‑making, coaching and service quality
- Shifting from reactive leadership to proactive, insight‑driven leadership
- Activity: Leaders analyse anonymised customer interactions using an AI tool and identify three leadership decisions that could be improved through AI‑supported insights
- AI‑Enhanced Coaching and Feedback Mastery
- Using AI tools to analyse calls, chats and customer sentiment
- Identifying behavioural patterns and coaching opportunities with precision
- Delivering feedback that is clear, actionable and emotionally intelligent
- Activity: Participants receive AI‑generated coaching insights for a sample agent and conduct a live coaching simulation, converting AI data into a structured coaching conversation
- Managing Underperformers with AI‑Supported Insights
- Identifying early warning signs of performance decline
- Using AI to pinpoint skill gaps, behavioural issues and training needs
- Applying structured intervention frameworks to turn underperformers into consistent performers
- Activity: Leaders review an AI‑generated performance risk report and design a personalised intervention plan for an underperforming agent
- Predictive and Preventive Team Leadership
- Using AI to forecast performance risks, customer dissatisfaction and escalation triggers
- Preventing issues before they occur through proactive leadership routines
- Building a team environment that reduces stress, errors and service breakdowns
- Activity: Participants use a predictive dashboard to identify upcoming service risks and create a preventive leadership plan
- Day 2 – AI‑Driven Quality, Real‑Time Decisions & CX Culture
- AI‑Driven Quality Management and Customer Sentiment Analysis
- Using AI to evaluate service quality, tone, empathy and compliance
- Understanding customer emotion patterns and their impact on satisfaction
- Transforming insights into targeted coaching and service improvements
- Activity: Leaders examine AI‑generated sentiment and quality scores and propose three targeted improvements based on the insights
- Real‑Time Decision Making Using AI Dashboards
- Interpreting live data to guide team actions and service priorities
- Managing queues, escalations and service levels with AI‑supported clarity
- Making fast, confident decisions during peak periods
- Activity: Participants run a simulated peak‑hour scenario using a live dashboard and make real‑time decisions to stabilise service levels
- Building a High‑Performance CX Culture
- Creating a culture of ownership, accountability and continuous improvement
- Motivating agents using AI‑supported recognition and performance insights
- Strengthening teamwork, collaboration and service pride
- Activity: Leaders design a weekly AI‑supported recognition routine using performance insights to reinforce positive behaviours
- Leadership Communication and Influence in an AI‑Enabled Environment
- Communicating with clarity, empathy and authority
- Influencing team behaviour through structured communication routines
- Leading with confidence in a hybrid, digital and AI‑powered workplace
- Activity: Participants deliver a data‑driven team briefing using AI insights, strengthening clarity, influence and leadership presence
Methodology
Methodology
Activity‑based learning focused on real CX leadership scenarios
AI‑supported simulations, dashboards and analysis exercises
Group discussions, case studies and leadership reflection
Roleplays for coaching, feedback and managing underperformers
Facilitator‑guided action planning for post‑training implementation