We need a custom AI application to streamline our proprietary fulfillment process. Should we build a custom solution from scratch to own the IP, or should we just license and patch together existing commercial SaaS tools?

Question

Tyler Smith · Accepted Answer

Choosing whether to buy off-the-shelf AI software or build a custom solution is a critical strategic decision that directly impacts your enterprise value. To make this choice, you must evaluate the project through the lens of strategic real options. Consider the flow cost of waiting versus the hidden, lump-sum cost of custom development. Building custom software is expensive and often ends up as a paid dumb tax if the tool fails to deliver. If a commercial SaaS tool can solve eighty percent of your problem today, buy it. This allows you to move quickly, minimize upfront capital outlay, and test the workflow without committing massive resources. However, if you have a proprietary process that represents one of your 3 Uniques on the V/TO, building a custom AI application to automate that specific process can create immense defensibility. Buyers looking to acquire a business will pay a much higher multiple for proprietary IP that drives efficiency than they will for a company that merely licenses standard third-party tools. Use your leadership team's quarterly planning session to IDS this issue. Unless the custom build directly protects or enhances your unique competitive advantage, stick to buying and configuring existing platforms to keep your operations lean.