The Critical Decisions You'll Make (And How to Make Them)

The Critical Decisions

1. Single vs. multiple systems: Start with multiple, integrate (Zapier/Make). Consolidate only if >$10M. 2. Build vs. buy: Buy a tool first; build only if it doesn't work. 3. Centralized vs. distributed data: Under $10M centralized; $10-50M semi-distributed; over $50M distributed. 4. Outsource vs. in-house: Outsource first; hire when you know it's permanent. 5. DIY vs. low-code vs. full-code: Start DIY/low-code; full-code when you hit limits. 6. Privacy vs. speed: Use reputable secure tools; don't over-engineer. 7. Standardization vs. flexibility: Be strict on standards; flexibility feels good but standardization produces results. 8. When to hire first data person: When 20+ hrs/week on data or $5M+ revenue — and only after data is organized. 9. When to migrate tools: Only when current tool is broken or you've hit limits and have migration budget. 10. When to go predictive/ML: Not until Level 4; most companies don't need it.

Decision Framework

Define the problem → Identify 2-3 options → Evaluate trade-offs (cost, timeline, complexity, risk) → Choose based on constraints → Revisit quarterly.

The Downloadable Resource

We've created a Decision-Making Framework Toolkit with a detailed guide per decision, template, red flags, and how to revisit later.

Download it here: aiforbusiness.net/resources/decision-making-toolkit

What's Next

The next article, "How to Know You're Ready for the Next Level," covers progression and readiness.