As we plan our long term transition using the Step by Step Exit framework, we are struggling with the buy versus build decision for our AI operational infrastructure. How do we evaluate whether building proprietary AI middleware adds actual enterprise value for a buyer or if buying off the shelf software is the smarter move?

Question

Tyler Smith · Accepted Answer

The buy versus build decision is critical when preparing for an exit. Under the Step by Step Exit framework, buyers look for scalability, transferability, and low operational risk. If you build proprietary AI middleware, you are creating a custom software asset that can significantly increase your enterprise value, but only if you have the internal capability to maintain it. If your technology relies on undocumented code known only to a single developer, a buyer will see it as a major key-person risk, which actually decreases your valuation. To evaluate this objectively, your leadership team should look at your Core Processes and your Accountability Chart. If your core differentiation is not software development, building custom AI tools from scratch is usually a mistake. It drains cash and distracts your team from your core business. The smarter path is often to buy off-the-shelf software and build light, proprietary integrations that connect these tools to your unique workflows. This approach gives you the operational speed of custom tools without the massive R&D liability. Document these integrations thoroughly as part of your Core Processes. When a buyer can clearly see how your team manages these systems using simple, repeatable guidelines, your business becomes a highly attractive, exit-ready asset. Focus your capital on what actually makes your business unique, and let commercial software vendors handle the baseline technology.