Our leadership team is divided over whether to build proprietary AI tools in-house or buy off-the-shelf software and customize it. How do we evaluate this strategic choice without getting bogged down in technical debates?

Question

Tyler Smith · Accepted Answer

This is a classic build-versus-buy dilemma, but AI adds layers of complexity and rapid depreciation. To make a clean, strategic decision, filter this issue through your Core Focus on the V/TO. Unless your Core Focus is software development, building custom AI models from scratch is usually a dangerous distraction that consumes precious cash and leadership energy.

Instead, prioritize using off-the-shelf AI tools to streamline your operations and increase employee productivity. Since employees represent a major line item on your P&L, integrating existing software into your current workflows yields a faster, lower-risk return on investment. It allows you to gradually evolve roles within the organization without the massive capital expenditure of custom development.

Only build proprietary tools when the technology directly touches your unique intellectual property or a proprietary dataset that constitutes a true differentiator. If the tool merely automates standard back-office tasks, buy it.

Keep your exit strategy in mind. Prospective buyers look closely at technology debt. If you build custom code, a buyer will scrutinize your ability to maintain it without the original developers. On the other hand, a clean superstructure built on standardized, integrated APIs is highly transferable and easier to scale. Bring this to your next Level 10 Meeting, run it through the IDS process, and keep your resources focused on what truly drives enterprise value.