The B1/B2/B3 Portfolio Strategy for AI Investment
The free article gives you the B1/B2/B3 categories. This guide goes deep — the Red Queen Effect that kills companies who stand still, portfolio allocation models, the B1 Trap that eats 80%+ of your budget, and the expanded case studies (Best Buy $1B personalization, Olo IPO, C.H. Robinson) showing what each tier looks like when it works.
The article gives you the B1/B2/B3 categories. The guide gives you the portfolio allocation strategy, the Red Queen Effect analysis, the B1 Trap diagnostic, and the 15-question scoring tool to evaluate your current portfolio.
Read the free article first →CDOs, VPs of AI, and portfolio leaders who need to explain to the board why they're funding experimental AI — and how it connects to revenue.
$2.5B+ in AI-driven revenue. 100+ product launches. Teams from 2 to 300+. Built the data architecture behind Olo's $3.6B IPO. These guides are the playbooks from those experiences.
The frameworks are free. The implementation playbooks are what get you results.
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