With AI agents quickly moving from concept to customer-facing, the conversation around them can be dominated by hype and vague promises. In this session, three leading voices, Emily Yang, Head of Human-Centered AI at Standard Chartered, Jesslyn Dymond, Director of AI Governance and Data Ethics at TELUS and Sana Hassan, Senior Data Science Manager at EY, will cut through the noise, discussing .

Together, our panel will explore the risks and rewards of embedding AI agents into CX, and how human-centred design, governance and ethics should steer their development responsibly.

We will examine the cultural, psychological and ethical factors shaping adoption of AI agents and offer a grounded view of where we are now and where we are heading. Expect candid insights on the biases hidden in training data, the regulatory and reputational risks of human-like agents, and the importance of customer and employee voices in AI strategy.

Attendees will learn:

• How to distinguish between marketing claims and the real technical capabilities of AI agents.
• Strategies for embedding human-centered principles and transparency into AI agent design and deployment.
• Lessons from experts on the frontline of navigating cultural, ethical and operational challenges in AI adoption.

Sponsored by: NICE

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Sana Hassan

Senior Data Science Manager
EY

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Emily Yang

Head of People-Centered AI
Standard Chartered Bank

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Jesslyn Dymond

Director, AI Governance & Data Ethics
TELUS

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AI agents have been quietly powering customer interactions – and many other business processes – for years. Scripted chatbots and IVR systems, for example, that follow a rules-based path. Agentic AI, however, is a total step-change in capability, enabling systems to make decisions autonomously and orchestrate multiple processes – essentially acting without human oversight. While financial services and other regulated industries are typically cautious, early use cases are emerging that point to opportunities for cost-saving and increased efficiency with AI agents.

In this session, Philip O’Shaughnessey, Head of Architecture and Anjali Jain, Data Architect at Metro Bank will explore how agentic AI is maturing and will look at what happens when it moves from pilot projects to real-world deployments. We will look at practical examples from hyperpersonalization and take an honest look at what is realistic over the next 2-3 years. We will explore how agentic AI can transform customer touchpoints, providing truly personalized experiences that can predict needs and streamline complex journeys while staying within human-designed guardrails.

Attendees will learn:

• Practical, enterprise-grade use cases that go beyond traditional chatbots, from compliance automation to hypersonalized customer journey orchestration.
• Balancing innovation with regulation and ethics when designing agentic AI that colleagues and customers will trust.
• How agentic AI will reshape operational roles and cost-to-serve models, creating competitive advantage for organisations ready to adapt.

Philip O'Shaughnessy

Head of Architecture
Metro Bank

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Anjali Jain

Data Architect
Metro Bank

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In the quickly-evolving AI landscape, there can be confusion about the differences in capabilities and applications between co-pilots, generative AI and AI agents. For CX leaders, understanding which tool can do what for your brand is imperative to staying ahead of the curve with your tech strategy. 

In this rapid, 10-minute demo, we will cut through the noise with clear definitions accompanied by practical examples and a side-by-side comparison of how each type of AI is transforming CX across industries. We will show real-world applications in action, from generative content to agent assist co-pilots to fully autonomous AI agents resolving customer issues end-to end.  

Attendees will learn: 

• The key differences between co-pilots, generative AI, and AI agents and why they matter for CX. 
• How each type of AI can be applied to boost efficiency, personalization, and proactive engagement. 
• What to consider when evaluating AI technologies and vendors to future-proof your CX strategy. 

AI agents are intelligent, goal-driven systems capable of autonomously handling complex tasks across customer journeys. One of the most promising locations for AI agents to have the biggest impact is in the contact center. Once trained on company policy and integrated with existing ecosystems, AI agents can support customers, end-to-end, efficiently and constantly – freeing up agents for more value added work. 

In this demo, we will showcase how AI agents can not only support but transform contact center operations, from fully resolving inbound queries to proactively reaching out before issues arise. CX leaders looking to reduce operations costs and improve agent productivity while improving customer experience. 

Attendees will learn: 

• What d AI agents apart from traditional bots and agent-assist tools in the contact center. 
• Real-world use cases where AI agents are reducing resolution time, deflecting tickets, and improving CSAT. 
• How to evaluate, implement, and scale AI agents while maintaining control, compliance, and brand voice. 

Forbes found that 81 percent of customers prefer companies that offer a personalized experience. Customers, however, expect more than personalization: they want relevance in real-time. For many brands, this has been out of reach – until now.  

Agentic AI is powering the evolution of customer engagement, able to tailor journeys and offers in real time at scale to drive loyalty and increased revenue. In this quickfire demo, we will share how this technology works and how to integrate it with existing systems to enable adaptive and continuous personalization that works with demand.  

Attendees will learn: 

• How agentic AI enables real-time personalization across the entire customer lifecycle. 
• Proven strategies for increasing conversion, upsell, and retention through autonomous engagement. 
• What it takes to deploy agentic AI safely and effectively without sacrificing customer trust or brand integrity. 

CX Network research found that AI for backend operations is the number one trend impacting CX roles in 2025. AI agents go beyond automation, truly designing and optimizing processes. While traditional AI models are already supporting human decision-making, AI agents take this a step further, adapting dynamically and making decisions to meet defined business goals. In the context of retail, this can look like maximizing margins through dynamic pricing or coordinating with other AI agents to achieve sales objectives through scalable personalization. AI agents, unlike traditional automation, learn from outcomes and improve over time.

In this session, Armen Momejian, Head of AI Initiatives at ALDO Group, joins us to explain how he is leading the implementation of AI agents at the footwear giant, walking us through learnings to date. We will also delve into ongoing stakeholder and change management strategies needed to build trust when implementing this emerging technology and uncover best practices for continued success.

Attendees will learn:

• How AI agents differ from traditional automation by designing and executing their own strategies to meet business goals.
• Practical strategies for managing change, gaining organizational support and building trust in AI-driven decisions.
• Why high-quality and well-structured internal data is essential and how to prepare your business to harness AI agents effectively.

Armen Momejian

Head of AI Initiatives
ALDO Group

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This session will examine how organizations can move beyond rule-based automation to build multi-agent orchestration frameworks that optimize collaboration and service delivery. The discussion will explore the use of conversational BI agents and autonomous downstream trigger actions that proactively detect and address issues without human intervention—achieving faster resolution times, delivering tailored recommendations, and saving hundreds of thousands of work hours.

We will also highlight how an explainable agentic ecosystem can be designed with human oversight at key decision points to maintain trust and control. Attendees will see how AI-driven agents can uncover operational inefficiencies, generate tailored growth strategies, and streamline decision-making processes for faster, data-driven actions.

Attendees will learn:

• How to design and implement multiple AI agents to address complex, high-volume challenges with minimal human involvement.
• Methods to combine personalization at scale with explainable AI to secure trust and user adoption.
• Governance and access-control considerations when deploying agentic AI in enterprise environments.

Rajesh Sura

Head of Data Engineering & Analytics - North America Stores
Amazon

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