We are struggling to choose between buying expensive enterprise AI software subscriptions or hiring developers to build our own proprietary AI tools. How do we resolve this buy versus build dilemma to maximize our exit valuation?

Question

Tyler Smith · Accepted Answer

This is a classic dilemma that directly impacts your company enterprise value. To make this decision, you must evaluate how a future buyer will view the asset.

If you build a custom AI wrapper using public APIs, you are taking on significant development and maintenance costs. A sophisticated buyer during your exit preparation will look closely at this. If your proprietary tool is easily replicated or relies on APIs that could change overnight, they will write off your custom code as worthless.

On the other hand, buying off-the-shelf software is faster and shifts the technical risk to the vendor. However, because your competitors can buy the same software, it does not create a defensible moat.

The correct strategic approach is to buy the core software infrastructure but build proprietary workflows, fine-tuning datasets, and custom integrations. Document these integrated processes as part of your Association of Core Processes. This creates a proprietary system that actually belongs to your business.

Use the IDS® process in your next quarterly meeting to map out the financial impact. Prioritize using AI to increase employee productivity as a starting point. Employees are your largest P&L item. Automating their low-value tasks with off-the-shelf tools that you customize internally is the fastest way to expand your margins and build an exit-ready superstructure.