Webinar: Deploying Voice AI Agents in a Secure and Compliant Way

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AI agents are quickly becoming core to collections operations, helping teams reduce labor costs and improve margins. But alongside the upside comes a new set of questions and risks, particularly as large language models (LLMs) like OpenAI and Claude get involved.

Is customer data exposed to third-party LLM providers? Can these providers use your data to train their models? What vulnerabilities exist beyond the models themselves? How do open-source and closed-source LLMs compare in terms of risk? What guardrails are necessary for different use cases? How can you explain and control your AI agent’s behavior?

This session is designed to help you gain clarity, not fear. You'll walk away with a better understanding of how to deploy AI agents in a secure and compliant way that satisfies regulators, clients, and internal stakeholders.

Join us to:

1. Get clarity on data privacy, security, and model exposure risks

2. Learn actionable practices to mitigate vulnerabilities and stay compliant

3. Build internal and client confidence in your AI strategy

Rather than shying away from this transformative technology, we'll help you address the key risks and understand best practices so you can proactively test, implement, and gain a competitive advantage.

Because the future won't wait.