Proprietary organizational data and institutional knowledge that cannot be replicated by competitors or accessed by generic AI systems. Private tokens encompass four key categories: conversational data (such as sales calls and support interactions), internal documentation (including strategy documents and playbooks), digital communications (like email threads and Slack messages), and tribal wisdom (encompassing unwritten rules and cultural knowledge). For marketing leaders, private tokens represent the "secret sauce" that transforms commodity AI into competitive advantage—your customer insights, brand voice patterns, successful campaign data, and market positioning strategies. When integrated into custom AI systems, private tokens enable marketing automation that understands your business context, delivering personalized customer experiences and strategic insights unavailable to organizations relying solely on public AI training data.
Documentation turns tacit knowledge into a strategic asset that scales communication, preserves institutional memory, and becomes the training data powering custom AI solutions. By making it context-fit, concise, visual, skimmable, current, and discoverable—and extending its depth for AI-native use—organizations convert unique insights into lasting competitive advantages.
Don't let SaaS solutions train on your unique competitive advantage and protect your company's unique IP by building your own custom AI.
Just as Eisenhower warned of a powerful military-industrial alliance and Conway observed that systems mirror their creators’ communication structures, today’s sprawling SaaS ecosystem quietly imposes vendor-defined processes on every company. By harnessing AI and proprietary “private tokens,” enterprises can escape this one-size-fits-all mold and build software that truly reflects their unique DNA and strategic edge.
Conway’s Law states that organizations designing systems are constrained to produce designs mirroring their own communication structures. For example, separate sales, marketing, and support teams often yield a website organized into Shop, Learn, and Support sections—reflecting internal divisions rather than user needs.