RocketDocs CEO Perry Robinson: 80% of Boards Push AI, Only 20% Trust It

In a recent episode of The Building Texas Show, titled "Why 80% of Companies Don't Trust AI (And They're Right)," host Justin McKenzie sat down with Perry Robinson, CEO of RocketDocs, to explore a critical governance challenge in enterprise technology. Robinson revealed that approximately 80% of corporate boards are urging their organizations to adopt artificial intelligence, yet only about 20% of those companies trust AI tools enough to deploy them in production. This widening trust gap has significant implications for regulated industries such as life sciences, healthcare, insurance, and financial services.

Robinson explained that the disconnect stems from the risks associated with "shadow AI," where employees use free tiers of public AI models like ChatGPT, Claude, or Gemini without enterprise controls. When proprietary data is pasted into these public sessions, it can be used to train the models, exposing sensitive corporate intellectual property. As Robinson stated, "Policy is a promise, architecture is a guarantee," emphasizing that contractual language alone cannot protect data once it enters public AI systems. He warned that "if you're not paying for the product, you are the product," referencing how free AI services often leverage user data for model improvement.

To address these concerns, RocketDocs offers the Luma platform, a secure generative AI layer that operates entirely within a customer's own knowledge base and virtual private cloud (VPC). Luma is audited against ISO 27001 and SOC 2 Type 2 standards and is deliberately limited to avoid crawling the open internet, ensuring answers are grounded in approved, subject-matter-expert-signed content. Robinson also highlighted a new secure file transfer capability designed for sensitive use cases in defense, law enforcement, and product launches where large files cannot be transmitted via email.

The conversation also touched on regulatory developments like the upcoming EU AI Act, which introduces revenue-based fines for non-compliance, and policy shifts from major vendors such as Atlassian regarding training on customer data. Robinson noted that buyers are increasingly involving AI governance committees, chief compliance officers, and general counsel in negotiations, often requiring AI addenda. The episode underscores the urgency for enterprises to adopt secure, auditable AI solutions that align with governance requirements and build trust in AI systems.

For more insights, the full episode is available on podcast platforms and YouTube. The discussion provides a candid look at the challenges and solutions in enterprise AI adoption, particularly for organizations in highly regulated sectors.