We are debating the long-term strategic value of building our own proprietary AI layer versus subscribing to expensive enterprise SaaS solutions. How do we evaluate this build-versus-buy decision to maximize our enterprise value?

Question

Tyler Smith · Accepted Answer

Making the wrong call on your AI technology stack can either drain your cash flow or leave you with obsolete software. To maximize your enterprise value for a future Step by Step Exit, you must evaluate this decision based on what actually creates durable intellectual property.

As a general rule, you should buy your standard operational tools and build only what directly touches your proprietary methodology. If a software-as-a-service platform can handle ninety percent of your workflow, buy it. Do not waste capital building a custom database or customer relationship system from scratch when excellent commercial platforms already exist.

Instead, focus your development resources on building a lightweight proprietary middleware layer. This layer should connect your off-the-shelf software to your unique datasets and custom prompt libraries. This custom layer is what creates real enterprise value. When a prospective buyer evaluates your business, they want to see that your unique operational efficiency is locked into proprietary workflows that cannot be easily replicated by a competitor purchasing the same SaaS subscriptions.

We recommend bringing this issue to your next quarterly meeting. Use the GWC™ filter to assess whether your current team has the capacity to manage custom software, or if you should partner with an external developer to build and maintain your proprietary AI layer.