Title: Custom AI assistants for businesses | ARKEA IA
Description: We design custom AI assistants connected to company knowledge, processes and tools, with RAG, tools, skills, integrations and oversight.

# AI assistants built around your company.

An enterprise assistant should not begin and end in a chat window. We design the context, connections and capabilities it needs to work inside real processes.

[Explore an implementation](contacto.html#proyecto)
## What is an enterprise AI assistant?

An enterprise AI assistant is a system designed to use an organization’s specific context, rules and tools rather than operate as an isolated generic assistant.

The architecture may combine internal knowledge, RAG when a case requires retrieval from specific sources, permissions, tools, skills, integrations and human escalation. The exact combination depends on the process and the appropriate level of autonomy.

## What an implementation can include

### Context & knowledge

Documentation, internal information and relevant sources organized so the system can retrieve what each task needs.

### Instructions & behavior

Rules and criteria adapted to the organization’s process, language and constraints.

### Tools

Capabilities to consult services or execute permitted actions.

### Skills

Reusable functions designed for specific tasks.

### Integrations

Connections to existing systems when technically viable.

### Oversight

Mechanisms to observe behavior and keep human control where appropriate.

## Not everything needs an autonomous agent.

Part of our work is deciding when to use AI, when deterministic automation is enough, and when to combine both. The goal is not to maximize AI usage; it is to build the right system for the process.

## Connect the assistant to operations

[See how we integrate MCP and APIs](integraciones.html)
[Understand tools and skills](tools-skills.html)
[See how we design oversight](dashboard-ia.html)
[Explore an implementation](contacto.html#proyecto)
## Frequently asked questions

### When does a business need an AI assistant?

When a process needs company context, internal knowledge or tools consistently and an isolated generic assistant is not enough.

### Does every assistant need RAG?

No. We use RAG when a case requires retrieving knowledge from specific sources. If context is better handled another way, we design the appropriate architecture.