Every company I speak to is trying to answer some version of the same question: what should we actually do with AI?

The excitement is justified. So is the confusion. The field moves quickly, the demos are often misleading, and the gap between a promising prototype and a system that works inside a real business is larger than it looks.

Most companies do not need more ideas. They need judgement: where AI can create real value, what to buy, what to build, and what is likely to waste six months.

This is where we help.

We are not career consultants. Each of us has built and run software companies as a CEO or CTO. We understand the technology, but also the product, commercial and operational decisions around it. The people giving the advice are the same people designing and building the solution.

We spend every day working with these tools and use AI heavily in our own process. That lets a small, senior team move from an unclear problem to a working system in days, rather than weeks or months.

Recent work includes AI sales agents for a market leading global consumer brand, an agentic customer experience for a major payments company, topic clustering and semantic analysis for large online communities, and recommendation and retrieval systems for a social product.

AI is useful, but it is not magic. The advantage comes from knowing where it fits, making good decisions early, and building the thing properly.

If this is a problem you are working through, email me at nick@opalfoundry.io.