As we prepare for a future transition using the Step by Step Exit framework, we are torn between maximizing immediate profitability through cheap, off-the-shelf AI and investing in building proprietary training datasets. How do strategic buyers weigh software-driven margins versus unique data assets when evaluating enterprise value?

Question

Tyler Smith · Accepted Answer

Strategic buyers look at your business through two distinct lenses: current profitability and future defensibility. If you rely solely on off-the-shelf AI tools, you will certainly boost your immediate margins, which looks great on a P&L. However, a sophisticated buyer knows that anyone can copy a SaaS-enabled workflow. Without defensible intellectual property, your high margins are vulnerable to rapid erosion by competitors who adopt the same tools.

To maximize your valuation under the Step by Step Exit framework, you must find a balance. While you should utilize off-the-shelf software to eliminate low-value tasks and keep overhead low, you should also strategically capture and clean your proprietary operational data. A business that owns unique training datasets, proprietary customer insights, or specialized historical workflows has a deep competitive moat.

During your annual planning, look at your V/TO and identify where your proprietary data lives. Treat this data as a strategic asset. By building workflows that feed your unique datasets, you create a system that becomes smarter and more valuable over time. When it comes time to exit, strategic buyers will pay a premium multiple for a company that boasts both high software-driven profitability and proprietary data assets that cannot be purchased on the open market.