Doug Green, Publisher of Technology Reseller News, sat down with JLINC’s Dean Landsman, Strategy and Business Development, to explore a career-spanning conversation that connects radio, telecom, and today’s AI-driven communications landscape through a single unifying theme: trust.

Landsman traced his professional journey from early days in radio—where understanding audiences meant far more than chasing ratings—to telecom and, ultimately, to AI governance. Along the way, he witnessed a recurring pattern: industries drifting toward commoditization, treating users and their data as interchangeable units rather than as people whose information carries meaning, context, and rights. That experience now shapes JLINC’s mission in the AI era.

At the center of the discussion was JLINC’s role in data governance for AI workflows, particularly its integration with the emerging vCon (virtual conversation) standard. While much of today’s AI governance focuses on compliance frameworks like ISO and NIST, JLINC provides the operational layer—cryptographic provenance, consent enforcement, and auditable controls—that ensures data integrity throughout an AI workflow. As Landsman explained, “We provide the guardrails that make sure what goes in is what comes out—unaltered, authorized, and trustworthy.”

This capability becomes especially critical as vCons—often described as a “PDF for conversations”—are increasingly used to capture voice, text, and interaction data that may later feed AI systems, analytics platforms, or even legal proceedings. JLINC ensures that permissions, provenance, and integrity are preserved end to end, preventing errors, hallucinations, or unauthorized changes by either humans or AI systems. In regulated environments such as healthcare, finance, government, and contact centers, Landsman emphasized that this trust layer is not optional—it is foundational.

As organizations grapple with growing public skepticism around AI, Landsman positioned JLINC as a practical answer to the trust question. “People are worried their words will be misrepresented or altered,” he said. “Our role is to make sure the data remains clean, provable, and respected—so AI becomes something you can actually trust.” For channel partners, carriers, and enterprises alike, the message was clear: in an AI-driven future, governance is not just about compliance—it’s about confidence.

Learn more about JLINC at https://www.jlinc.com/.