Decision 1: Where to Spend the First $50k
The single most consequential choice. The wrong answer: across 6 use cases. The right answer: into the one workflow that's clearly the biggest drag on your business right now. Audit team time. Pick the heaviest load. Ship AI there first. Repeat next quarter.
Decision 2: Build vs Buy on Each Use Case
Default to buy. SaaS AI tools cover 80% of common use cases at SMB pricing. Build only when: there's no off-the-shelf option, your data is unusual, or the use case is core to your differentiation. See our build-vs-buy framework.
Decision 3: Who Owns AI Internally
Not the CTO. Not the founder. Not “everyone.” A single named person whose job description includes AI ownership. Often a senior ops or product lead. Without this, AI initiatives die in the gap between roles.
- • Where to spend.
- • Build vs buy.
- • Internal owner.
- • Vendor stance.
- • Customer disclosure.
Decision 4: Vendor Lock vs Optionality
Wrap every AI provider behind your own thin interface. Switch providers in a day, not a quarter. The price is a small abstraction layer; the value is freedom when prices change or quality drifts.
Decision 5: What to Tell Customers
Disclose AI use clearly. Build it into terms, product copy, and FAQs. Don't pretend AI isn't involved. The customers who care about disclosure are your most thoughtful customers; the ones who don't care will appreciate the trust.
Common First-Time Operator Mistakes
- Hiring a “Head of AI” before having any AI shipping.
- Treating model choice as the strategic decision (it isn't).
- Underestimating the data cleanup phase.
- Overestimating internal change capacity (start smaller than you think).
First-time AI operators don't need a complicated strategy. They need to ship one thing well, learn, and ship the next. The strategy emerges from the shipping.
See our SMB roadmap and our AI systems service.
FAQ
How much should we budget for AI? 0.5–2% of revenue in year one is a fair target. More if AI is core.
Do we need a board-level AI discussion? Yes, quarterly. Track the same metrics you'd track for any strategic capability.
What if our team resists? Lead with augmentation framing, not replacement. Pick early use cases that help, not threaten.