How to Integrate AI Into Your Business Without Breaking Things

AI integration doesn't have to be a moonshot. The most successful implementations start small, deliver value, and expand.

Start with a narrow problem

Don't try to "add AI" to your product. Instead, find a specific, measurable problem: support ticket routing, document summarization, data extraction. Narrow problems are easier to solve and easier to measure.

Build, measure, then decide

Ship a small feature, measure its impact, and decide whether to invest more. A well-scoped AI feature can ship in weeks, not months.

The human-in-the-loop principle

For high-stakes decisions, keep a human in the loop. AI should augment, not replace, judgment. This builds trust and catches errors early.

Choosing models

Start with hosted APIs (OpenAI, Anthropic) for speed. Move to open-source models when you need lower costs, more control, or data privacy. Don't over-optimize too early.