Andrew Smith

AI Practice Lead Kenway Consulting

Andrew joined Kenway in 2015 and has developed a strong background in software development and data/analytics. He leads the AI and Application Development practices, driven by his passion for leveraging technology to solve complex problems. Andrew remains at Kenway for its exceptional people and unwavering principles, which deeply resonate with his own values. Being part of a team committed to excellence and innovation drives him every day in his role at Kenway.

Day One

11:30 AM Scale AI with confidence: Reduce risk and build trust

AI is redefining customer engagement, but without a solid governance strategy, it can introduce unforeseen risks—compromising security, compliance, and trust. A recent study found that approximately 63 percent of customers are concerned about potential bias and discrimination in AI algorithms and decision-making (Zendesk). In addition, 70 percent of customers stated that they won’t purchase from a company that has lackluster security measures (Zendesk). When there is so much competition, all vying to gather customers, you can’t risk degrading your customers’ loyalty from an easily preventable risk. For an organization that wants to succeed in the coming years, it’s a no-brainer. To stay ahead, industry leaders must move beyond AI adoption and focus on responsible, risk-aware implementation. 

Join an expert-led discussion with Rishi Rana, CEO at Cyara, Janet Vito, SVP Marketing at Cyara, along with Andrew Smith and Sean Robago of Kenway Consulting on mitigating generative AI and LLM risks while ensuring secure, seamless, and scalable operations.

Drawing from Cyara’s latest whitepaper, we’ll share proven governance strategies to help businesses harness AI’s full potential—without the risk. 

  • Identify and mitigate generative AI and LLM risks: including key challenges such as hallucinations, bias, and compliance gaps. Learn how to minimize risks before they impact CX.
  • Proven AI governance strategies for contact centers: Explore best practices to ensure AI aligns with business goals, regulatory requirements, and customer expectations.
  • Real-world success stories: Learn how leading brands deploy AI responsibly, balancing efficiency, trust, and scalability in customer interactions.