What is a vertical AI agent?
A vertical AI agent is an AI agent built for a single industry or business function, tuned with the data, rules, and workflows of that domain rather than trying to do everything. A general agent is a generalist. A vertical agent is a specialist.
Key takeaways
An AI agent built for a single industry or business function.
Because it is narrow, a vertical agent tends to be more accurate and easier to trust.
You give up flexibility for depth.
Built for one domain
Figure 1. Tuned to one domain
Restates this article: a vertical AI agent is built for a single industry or business function, tuned with the data, rules, and workflows of that domain. The figure shows structure only; nothing in it is measured.
Because it is narrow, a vertical agent tends to be more accurate and easier to trust. An agent built only for insurance claims knows the terminology, the compliance rules, and the steps a claim actually goes through, all of which a general purpose agent would fumble.
- The terminology
- The compliance rules
- The steps a claim actually goes through
Depth over reach
The trade off is reach. You give up flexibility for depth. For most real business problems, depth wins.
Vertical AI agent
A specialist- Built for a single industry or business function
- Tuned with the data, rules, and workflows of that domain
- Tends to be more accurate and easier to trust
Horizontal AI agent
A generalist- Handles broad tasks across many domains
- Reach and flexibility
Sthenos builds vertical agents around a specific AI and machine learning workflow, not generic assistants bolted onto a process.
Related terms
What is the difference between a vertical and horizontal AI agent?
Vertical agents specialize in one domain. Horizontal agents handle broad tasks across many domains.
