The latest episode of The Building Texas Show, titled Why 80% of Companies Don't Trust AI (And They're Right), published June 6, 2026, brings listeners a candid San Antonio conversation between host Justin McKenzie and Perry Robinson, CEO of RocketDocs. The discussion tackles one of the most urgent governance problems in enterprise technology: roughly 80% of boards are pushing their companies to adopt AI, yet only about 20% of those companies actually trust the tools enough to deploy them. Robinson explains why that gap is widening, and what regulated industries are doing about it.
Across the episode, Robinson and McKenzie walk through several substantive threads pulled straight from the front lines of enterprise AI adoption: What RFP management and knowledge management really mean for life sciences, healthcare, insurance, and financial services customers; the risks of 'shadow AI' when employees paste proprietary data into free ChatGPT, Claude, or Gemini sessions; Atlassian's recent policy shift on training customer Jira and Confluence data, and what it signals for SaaS vendors; how the EU AI Act, coming into force this summer, introduces revenue-based fines for non-compliance; and why Salesforce's headless data moves reflect mounting pressure to feed AI pipelines.
Robinson, who joined the 30-year-old RocketDocs three years ago, frames the company's philosophy in a single line that anchors the conversation: "Policy is a promise, architecture is a guarantee." He warns that contractual language alone cannot protect corporate IP once employees start routing sensitive data through public models. As Robinson puts it, "if you're not paying for the product, you are the product", a reminder that free tiers of OpenAI, Anthropic, and Google products are often training grounds for the very vendors enterprises are trying to compete against.
The conversation digs into RocketDocs' Luma platform, a secure generative AI layer designed to run entirely on a customer's own knowledge base inside their VPC, audited against ISO 27001 and SOC 2 Type 2 standards. Robinson describes Luma as deliberately 'limited on purpose,' refusing to crawl the open internet so that answers stay grounded in approved, subject-matter-expert-signed content. He also details a new secure file transfer capability built for defense, law enforcement, and product launch scenarios where large, sensitive files cannot move by email. Buyers, he notes, increasingly include AI governance committees, chief compliance officers, and general counsel negotiating AI addenda.
