Reduce the risk posed by generative AI and LLMs
This whitepaper outlines strategies for successfully implementing generative AI and LLMs into your customer interactions while navigating the risks to security, compliance, and trust
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As contact centers continue to adopt new ways of delivering customer interactions with conversational AI-powered journeys, your organization’s success hinges on your ability to implement AI effectively.
This is not as straight forward as it seems; it demands governance and oversight. However, according to CX Network's own research, 48 percent of our network members do not have an organization-wide approach to generative AI best practice and governance.
This poses security risks that threaten customer data, and compliance risks that can result in costly fines and penalties in regulated industries. As a result, AI governance plays a critical role in overcoming these looming challenges.
This whitepaper from Cyara walks you through several of the risks that AI can pose to your businesses. It looks at real-world examples of AI-related risks, discusses the importance of accountability, and explains how you can leverage AI governance strategies and continuous CX testing to promote customer trust and transparency.
Download this whitepaper to discover:
- The importance of human accountability and oversight in the age of AI
- Why monitoring is important to mitigating AI-related risks in your contact center
- How to lead with and promote trust in your contact center
