We are arguing over whether to invest in building a proprietary AI engine or just license enterprise SaaS platforms. How do we use the GWC™ framework and Keith Cunningham's Thinking Time to make an objective decision?

Question

Tyler Smith · Accepted Answer

This is a classic debate that can burn hundreds of thousands of dollars in dumb tax if you get it wrong. To resolve this, you must apply a cold, analytical lens. Do not build custom code if an off-the-shelf SaaS tool can get you eighty percent of the way there.

First, schedule a dedicated Thinking Time session with your leadership team. Frame your challenge using Keith Cunningham's methodology: How might we leverage existing commercial AI tools so that we maximize our operational efficiency without taking on the long-term debt of software development?

Next, run the custom build option through the GWC™ framework on your Accountability Chart. Do you actually have a seat that has the capacity, skill, and desire to manage, maintain, and upgrade a proprietary software application? Most non-tech companies do not. They underestimate the continuous cost of bug fixes, API updates, and security patches.

If you build, it must be because the tool represents a core differentiator in your V/TO® Marketing Strategy that directly increases the enterprise value of your business for a clean exit. If it is merely an operational efficiency tool, you should buy. Buy the best enterprise SaaS tools available, integrate them using standard APIs, and focus your team's energy on executing your actual Core Focus. Keep your operations lean and avoid the trap of becoming a software development company by accident.