SecurePII: Turning AI Compliance into a Revenue Opportunity, Podcast

Recorded live at Cloud Connections, the Cloud Communications Alliance event in Delray Beach, Doug Green, Publisher of Technology Reseller News, spoke with Bill Placke, Co-Founder & President, Americas at SecurePII, about one of the most pressing challenges facing AI-driven communications today: how to scale AI while complying with global data privacy regulations—and how that challenge can become a competitive advantage.

Placke explains that SecurePII was formed to address a growing structural problem in AI adoption. While organizations are eager to deploy AI and train large language models, regulatory uncertainty around personally identifiable information (PII) has stalled progress. Citing industry research showing that more than 60 percent of AI initiatives have been paused due to data privacy concerns, Placke argues that governance policies alone are not enough. Instead, SecurePII takes an architectural approach.

At the core of SecurePII’s solution is data minimization at the point of ingestion. The company’s technology prevents sensitive information—such as credit card numbers, names, addresses, or social security numbers—from ever entering enterprise systems. SecurePII’s existing PCI-focused offering already removes cardholder data from call flows, keeping organizations out of PCI scope entirely. The same approach is now being extended to broader categories of PII, enabling AI systems to operate and train on clean data streams that are free from regulated information.

Placke emphasizes that this upstream architectural design fundamentally changes the compliance equation. Regulators and plaintiff attorneys, he notes, care about outcomes—not intent. If sensitive data never enters the system, compliance scope, audit costs, breach exposure, and regulatory risk are dramatically reduced. “Downstream controls don’t scale with AI—architecture does,” Placke says, positioning data minimization as a foundation for both trust and growth.

The discussion also highlights the role of consent and customer trust in an AI-enabled world. Rather than asking customers to consent to broad data use, SecurePII enables enterprises to clearly state that sensitive information is neither seen nor stored, while still allowing AI to learn from outcomes and sentiment. This approach removes what Placke calls the “creepy factor” associated with AI and personal data, while aligning with emerging frameworks such as the EU AI Act and long-standing NIST guidance.

For MSPs, UCaaS providers, and channel partners, Placke frames compliance not as a cost center but as a revenue opportunity. By embedding privacy-preserving architectures into voice, AI, and communications solutions, service providers can differentiate themselves as trusted advisors—helping customers deploy AI safely, reduce regulatory exposure, and accelerate adoption.

To learn more about SecurePII and its privacy-first AI architecture, visit https://www.securepii.cloud/.