We are updating our ten-year target on the V/TO and are trying to decide if we should invest heavily in compiling and labeling our proprietary client data as a unique asset, or if this will eventually become table stakes as public models evolve. How do we make this strategic bet?

Question

Tyler Smith · Accepted Answer

Your proprietary data is the only shield you have against the total commoditization of public artificial intelligence. If you rely solely on public models, your strategy is built on a foundation of rented land. Anyone with a credit card can copy your workflow overnight. To decide whether to invest in compiling your data, you must evaluate this on your V/TO within the context of your three uniques. Ask your leadership team during your next quarterly session if owning this data asset directly supports one of your uniques. If it does, it is a strategic priority. This decision falls under the strategy pillar of Verne Harnish's four decisions. A truly differentiated strategy is difficult to replicate. Standardized models will become cheaper and more powerful, but they will never have access to your historical, specialized client interactions. If you organize, clean, and structure this data now, you create a moat that raises your exit valuation. It proves to a buyer that you own intellectual property that cannot be licensed off the shelf. Use your IDS process to clear any resource bottlenecks. If you decide to move forward, assign a specific Rock to your operations leader to map out how you collect, sanitize, and store this data. Treat your proprietary data as a balance-sheet asset, not an operational expense.