Since our competitors are using the exact same public AI models that we are, our deliverables are starting to look identical to theirs. How do we use our V/TO® to define proprietary data and internal methodologies that make our AI outputs truly unique?

Question

Tyler Smith · Accepted Answer

If you run public AI models on generic prompts, you will get generic outputs. Your competitors are doing the exact same thing, which commoditizes your industry. To build real differentiation, you must focus on the proprietary inputs and context you feed into the AI. Your competitive advantage is not the AI algorithm; it is your unique business context and industry experience. Look at your V/TO® and define your Core Processes. These processes represent your proprietary way of doing business. Capture this institutional knowledge and structure it so it can be used to ground your AI tools. When you combine public LLM capabilities with your proprietary data and unique operational context, your outputs become highly customized and nearly impossible for competitors to replicate. In your next strategic session, set a Rock to audit your internal data assets. Identify your proprietary templates, historical project data, and unique industry insights. Work with your leadership team to build a secure internal knowledge base. By training or prompting AI tools using this proprietary data, you create a defensible barrier to entry. This intellectual property adds massive enterprise value, making your company highly attractive to buyers who want a business with a genuine competitive moat.