We are struggling to decide whether to build a proprietary AI assistant trained on our custom estimating database or simply license a generic software and train our team on smart prompting. How do we make this buy vs build call without wasting capital?

Question

Tyler Smith · Accepted Answer

To make this decision, you must run it through the filter of your Core Focus on your V/TO®. Building custom software is a major undertaking that turns a services or distribution company into a software development shop. Unless your proprietary estimating data is the single strategic moat that allows you to win eighty percent of your deals, you should not build custom models from scratch.

Most business owners underestimate the ongoing maintenance, security, and updates that custom code requires. If you build, you must own that software asset and be prepared to allocate a permanent seat on your Accountability Chart to manage it.

The practical path is to use the buy-and-customize approach. License a general commercial platform that offers private enterprise partitions. This allows you to secure your proprietary historical data within a closed environment without writing a single line of custom code.

Before you spend fifty thousand dollars on developers, run a ninety day trial using existing tools. Assign a Rock to a single team member to test if general software can get you eighty percent of the way there. If it can, buy it and focus your resources on scaling sales. If it fails due to specific data limitations, you then have the data points needed to justify a custom build.