At the start of the year, a client from the finance sector said something that stuck: “Your agent doesn't have to be a genius. It has to speak our language.” That is exactly what vertical AI agents are about.

Depth beats breadth

General-purpose models can do a surprising amount — and yet regularly fail at the last twenty percent, where technical language, industry rules and established processes live. Vertical agents turn the tables: they are tailored to one domain — such as insurance, healthcare, law or manufacturing — and know its terminology, document types, review obligations and exceptions. Studies and field reports have shown the same direction for months: in a specialist context, specialised agents deliver clearly more reliable results than generalists, often by a noticeable margin.

Where the advantage really comes from

The advantage rarely lies in the model itself but in everything around it: curated domain knowledge instead of internet miscellany, tools connected to the industry's actual systems, review steps that reflect regulatory requirements, and escalation paths that fit the organisation. A vertical agent for claims handling does not just “know” what a sum insured is — it also knows when it must not decide a case. This built-in awareness of limits is worth more in a specialist context than any eloquence.

Buy, build or both?

For many companies the question becomes concrete in 2026: buy ready-made industry agents or develop your own? Our experience: the truth usually lies in between. You buy standard capabilities and build the decisive difference — your own processes, data and quality standards — on top. What matters is to start with a clear domain rather than a grab bag.

Which process in your company would be the best candidate for a specialist agent? We can find that out together in half a day.