In a recent episode of The Building Texas Show, host Justin McKenzie sat down with Perry Robinson, CEO of RocketDocs, to discuss a pressing governance issue: despite 80% of corporate boards pushing for AI adoption, only 20% of companies trust the technology enough to deploy it. The episode, titled Why 80% of Companies Don’t Trust AI (And They’re Right), published June 6, 2026, explores the widening gap between boardroom enthusiasm and operational skepticism.
Robinson, who joined RocketDocs three years ago, explained that the trust deficit stems from legitimate concerns about data security, regulatory compliance, and the risks of ‘shadow AI’—employees using free versions of ChatGPT, Claude, or Gemini with proprietary data. ‘If you’re not paying for the product, you are the product,’ Robinson warned, emphasizing that free tiers often train competitors’ models. This practice, he noted, could lead to violations of the EU AI Act, which introduces revenue-based fines for non-compliance starting this summer.
The conversation also touched on recent policy shifts by major SaaS vendors, such as Atlassian’s decision to train on customer Jira and Confluence data, signaling a broader industry trend. Robinson argued that contractual language alone cannot protect corporate intellectual property; instead, ‘Policy is a promise, architecture is a guarantee.’ He highlighted RocketDocs’ Luma platform, a secure generative AI layer that operates entirely within a customer’s VPC, audited against ISO 27001 and SOC 2 Type 2 standards. Luma is deliberately ‘limited on purpose,’ refusing to crawl the open internet to ensure responses are grounded in approved, subject-matter-expert-signed content.
Robinson also detailed a new secure file transfer capability designed for defense, law enforcement, and product launch scenarios where large, sensitive files cannot move by email. According to him, buyers increasingly include AI governance committees, chief compliance officers, and general counsel who negotiate AI addenda. For regulated industries like life sciences, healthcare, insurance, and financial services, the stakes are particularly high. The episode underscored that as boards push for rapid AI adoption, companies must balance innovation with robust governance to avoid costly missteps.
The discussion concluded with reflections on how the EU AI Act and similar regulations will reshape enterprise AI strategies, with non-compliance penalties looming. For organizations navigating this landscape, Robinson’s message is clear: trust in AI requires a foundation of secure architecture and clear policy, not just boardroom directives. The episode is available now on podcast platforms and YouTube, sponsored by Chisos Boots.
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