• Understanding the shift from rules-based automation to agent-driven decisioning in CX operations
• Defining where AI should act independently versus when human intervention is essential
• Designing escalation, override, and accountability models for agentic workflows
• Avoiding common failure points when scaling autonomous CX systems
• Designing “human-in-the-loop” models that preserve empathy and contextual judgment
• Connecting behavioural, operational, and contextual signals to trigger autonomous CX actions
• Designing adaptive journeys that respond dynamically to customer intent and risk
• Moving from reactive service models to predictive, self-optimising experiences
• Measuring impact through speed, satisfaction, effort reduction, and commercial outcomes