We are debating whether to invest three hundred thousand dollars to build a proprietary AI-powered delivery platform or just buy off-the-shelf software. We want to sell in five years. How do we determine if building a custom AI model actually increases our enterprise value at exit, or if buyers will just view it as a liability they have to maintain?

Question

Tyler Smith · Accepted Answer

To determine if building a custom AI platform creates enterprise value, look at your strategy through the lens of a prospective buyer. Buyers do not pay a premium for a proprietary tech stack unless it represents a defensible competitive advantage. If your custom tool simply automates a generic business process that off-the-shelf software will commoditize next year, you are wasting cash.

You must evaluate this decision using the 4 Decisions framework, specifically focusing on cash and strategy. If you spend three hundred thousand dollars to build custom tooling, that software must directly support your 3 Uniques on your V/TO. It needs to create a proprietary data loop where your system becomes smarter with every customer transaction, making it impossible for a competitor to replicate.

If the tool only offers a minor speed improvement, you are better off buying off-the-shelf systems. Buyers hate undocumented, custom codebases that require specialized engineers to maintain. That is technical debt, not an asset. If you build, you must have a clear plan on your Accountability Chart showing who owns the maintenance seat, and they must have the GWC to run it. Otherwise, save your cash, buy standard SaaS tools, and focus your capital on scaling your actual delivery.