Title: AI automation for businesses | ARKEA IA
Description: We design workflows and automation connected to AI, data and business tools to reduce manual work while maintaining process control.

# Automation when rules are enough. AI when context is required.

We do not turn every workflow into an agent. We combine deterministic automation and artificial intelligence according to what the process actually needs.

[Analyze a process](contacto.html#proyecto)
## What can be part of a workflow

### Repetitive processes

Stable sequences that can run with less manual intervention.

### Tool synchronization

Moving information between systems when integrations support it.

### Classification & extraction

AI where content requires interpretation and simple rules are not enough.

### Context preparation

Retrieving and organizing information before a task.

### Human escalation

Approval or intervention points where automation should not decide alone.

### Traceability

Records of events, actions and exceptions according to scope.

## When should you use automation and when AI?

If a task can be described with stable rules, traditional automation is usually enough. AI becomes useful when the process must interpret language, use context, generate content, classify complex information or choose between alternatives that are not fully deterministic.

## Build around the process

[Integrate business tools](integraciones.html)
[Design a contextual assistant](inteligencia-artificial.html)
[See use cases](casos-de-uso.html)
## Frequently asked questions

### When should you use automation and when AI?


We use automation for stable rules and AI when the process needs interpretation, context, generation or decisions that are not fully deterministic.

### Does every automation need an agent?

No. Adding an agent unnecessarily increases complexity. We combine rules, integrations and AI only where each layer adds value.