Should we spend the money to build a proprietary AI platform for our internal operations, or is it safer to license off-the-shelf software and customize it?

Question

Tyler Smith · Accepted Answer

Avoid the temptation to build custom software unless it directly touches your core differentiator, your three uniques on the V/TO®. Building custom AI models introduces a hidden, lump-sum cost of upgrading quality and maintenance. License off-the-shelf software and customize it through simple API integrations. This reduces your flow cost of waiting and prevents paying a massive dumb tax down the road.

Map this on your Accountability Chart. The seat responsible for technology should treat custom AI builds as a strategic real option, evaluating the development stage and market quality before writing code. Focus your engineering talent on the small percentage of your proprietary process that actually creates a competitive moat. Use pre-built tools for general productivity, back-office automation, and basic workflow optimization. This keeps your capital free and your overhead low, which maximizes your trailing twelve months EBITDA and enterprise value as you prepare for an eventual exit.

If a tool does not directly enhance your proprietary process, buying is the default. Run this through an IDS® session in your next weekly Level 10 Meeting™. Have the integrator evaluate if the team has the GWC™ to build and maintain a custom system. Most do not. Use Keith Cunningham style Thinking Time to ask: How might we leverage existing commercial APIs so that we can automate eighty percent of this workflow without writing a single line of proprietary codebase? This approach preserves your resources and ensures your team stays focused on executing the core business.