The hype makes AI feel like something only big companies can use well. In practice, small teams often get more out of it, because they have specific, painful problems and no bureaucracy in the way.
Start with the pain, not the model
The teams that succeed with AI don't start by choosing a model. They start by naming the work that drains them, the inbox triage, the first-draft writing, the data lookups, then ask whether a machine can take the first pass.
- Pick one painful, repetitive task.
- Let AI do the first 80%; let a person finish the 20%.
- Measure hours returned, not novelty.
The best AI project is the boring one that gives your team an afternoon back.
Used this way, AI isn't a moonshot. It's a lever, and small teams are exactly the ones with the most to gain from pulling it.