Title: Enterprise AI use cases | ARKEA IA
Description: Examples of how assistants, automation, MCP, tools, RAG and dashboards can fit operations, knowledge, commercial teams and leadership.

# How AI can enter a real operation.

Not every company needs the same system. These examples show how an AI architecture can adapt to different processes without presenting them as client results.

[Tell us your use case](contacto.html#proyecto)
## Four implementation patterns

### Operations Copilot

An assistant connected to team tools can retrieve information, follow procedures, execute allowed actions and escalate exceptions when human intervention is required. · Tools · Workflows · Human escalation · Logs

### Knowledge Assistant

A system connected to documentation and internal sources can retrieve relevant information, preserve context and respond using knowledge available to each user or function. · RAG · Sources · Permissions · Context

### Sales Copilot

An assistant connected to CRM can retrieve context, prepare information, support follow-up and reduce manual work for selected sales-process tasks. · CRM · Tools · Automation · Context

### AI Control Center

A control layer can concentrate activity, events, usage and relevant signals to provide a shared operational view. · Dashboard · Logs · Usage · Alerts

## Have a different process?

ARKEA implementations are designed around each company’s specific case. These examples explain possible patterns, not claimed client outcomes.

## Go deeper into the architecture

[Custom AI assistants](inteligencia-artificial.html)
[MCP & integrations](integraciones.html)
[AI automation](automatizaciones.html)
[Dashboard & oversight](dashboard-ia.html)