Scaling Smart: The Real Blueprint for Gen AI Agent Deployment in CX

As customer experience becomes a key competitive differentiator, leading enterprises are moving fast to deploy Gen AI agents at scale—transforming contact centres into intelligent, automated environments.

The market is shifting from isolated experimentation to enterprise-wide integration, with successful brands already extracting measurable gains in resolution speed, satisfaction, and operational efficiency. In a landscape defined by agility and intelligent design, those who delay risk falling behind the curve of AI-enabled service excellence. Yet many organisations remain trapped in pilot mode. Beyond technology selection, they face daunting execution hurdles: aligning cross-functional teams, embedding AI into existing workflows, and maintaining performance quality across touchpoints. Without a clear operational blueprint, these initiatives stall—wasting resources and missing early-mover advantage.

This exclusive invite-only boardroom session offers a rare opportunity to gain first-hand insights from proven deployments. Senior CX, Contact Centre, Customer Service and Operations leaders will uncover the key ingredients of scalable success, from governance and training models to rollout sequencing and customer-facing impact. For stakeholders serious about unlocking AI’s full potential in customer experience, this is where strategy meets execution.

On 16 October 2025, we will be bringing together CX leaders to look at:

• Proven rollout models that shift AI agents from PoC to full production
• Governance frameworks that ensure scalability without service disruption
• Performance training strategies to maintain quality across high-volume interactions
• Commercial gains delivered by top brands: speed, accuracy, and CX loyalty metric
  
  

This is a by-invite-only Leaders Boardroom Discussion which has been designed to promote in-depth interaction amongst industry leaders.

For more information on this exclusive Boardroom Discussion, please contact: krishna.mawani@iqpc.com.sg

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