Title: UX for AI systems | ARKEA IA
Description: We design UX for AI systems: interfaces, feedback, errors, execution states, human escalation, oversight and adoption.

# Good AI also needs a good user experience.

Model quality alone does not create adoption. We design how people interact with the system, what information they see, how they correct results and when they need to intervene.

[Design the experience](contacto.html#proyecto)
## Interaction is part of the system

### Interface

Where users understand what they can ask and what is happening.

### Visible context

Enough information to understand which data or sources are involved.

### Feedback

Ways to correct, confirm or improve results.

### Errors

Clear states when an action fails or needs another route.

### Human escalation

Human intervention when process or risk requires it.

### Execution states

Visibility into in-progress, completed or blocked tasks.

### Trust & control

Confirmations and limits before sensitive actions.

### Adoption

Flows that fit the team’s real work.

## UX is also an oversight layer.

A good interface makes visible what is happening, what the user needs to provide, what action will run, when something fails, how to correct it and when to escalate. Those signals are operational control, not decoration.

## From experience to control

[See dashboard & oversight](dashboard-ia.html)
[See maintenance & evolution](mantenimiento-ia.html)
## Frequently asked questions

### Why does UX matter in an AI system?

Because adoption and control depend on people understanding what the system can do, what is happening, how to correct it and when to intervene.

### Can the interface include human approval?

Yes. Where the process requires it, we design confirmation, review or escalation steps before selected actions are executed.