ARTICLES
Why We Build Bounded AI
Most AI systems today aim to handle everything: more documents, more formats, more flexibility.
That generality can be impressive. But in domains like payroll, HR, and finance, it introduces a critical problem: you can no longer reliably know when a result is trustworthy.
Generic AI optimizes for breadth. Bounded AI optimizes for dependability.
At Khaonix, we deliberately build bounded AI.Bounded AI means:
- A clearly defined task
- A clearly defined input structure
- A clearly defined output schema
- Explicit handling of out-of-scope cases
This matters because accuracy is only meaningful when the task itself is well defined. If everything is considered “in scope,” correctness becomes difficult to measure and trust becomes fragile.
Bounded does not mean static. Our systems evolve through deliberate scope expansion, introduced only when new document structures and fields can be handled reliably and evaluated properly.
For high-stakes document intelligence, dependability matters more than breadth.
That’s why we build bounded AI at Khaonix.
19 December 2025
