We are struggling to decide whether our internal development team actually has the GWC to build a custom AI platform, or if we are just falling victim to sunk-cost bias. How do we use the Accountability Chart and the GWC filter to decide between building ourselves or buying a third-party tool?

Question

Tyler Smith · Accepted Answer

Sunk-cost bias is a dangerous trap that keeps leadership teams invested in failing projects. To break through the noise, you must apply the EOS GWC filter to your technical seats on the Accountability Chart. GWC stands for Get It, Want It, and Capacity to Do It. Your development team might desperately want to build a custom AI platform because it is exciting work, but do they actually have the capacity to deliver it? Capacity is not just about time; it is about specialized cognitive ability and raw technical capability. Run every member of your development team through the GWC filter specifically for this custom build project. If any seat is a No, you must halt the build immediately. Next, look at your Accountability Chart. Do you have a clearly defined seat for a Chief Technology Officer or a systems architect who is fully accountable for this build's success? If that seat is empty or misaligned, you cannot build. Buying a third-party SaaS tool allows you to bypass these internal talent constraints. It transfers the development risk to a third party, allowing your existing team to focus on integrating and operating the tool rather than writing code they may not have the capacity to maintain.