Why it fails
The same four mistakes, in almost every portfolio.
All four come from one root cause: treating AI as a feature layer instead of a reason to rebuild.
Bolting AI onto legacy products
A chatbot on a ten-year-old codebase is still a ten-year-old product.
No cost attribution
Token spend lands in COGS with nobody watching. Margin erodes silently.
No governance
No data rights, no logs, no evals. Buyers find it in diligence.
Assuming rebuilds take years
They take months. The assumption is what keeps portfolios stuck.
