Introduction

The demand for AI automation services in Spain has grown rapidly over the past two years. Startups and established companies alike are now integrating large language models (LLMs) and workflow automation tools to streamline operations, reduce costs, and improve customer experience.

Spain has become one of Europe’s emerging hubs for applied AI, with a growing number of agencies specializing in automation design, integration, and operations. This guide outlines how the market is structured, how to evaluate providers, and which models are proving most effective.

What Is an AI Automation Agency

An AI automation agency helps organizations design and deploy intelligent workflows powered by large language models and connected to tools such as CRMs, help desks, and back-office systems.
These agencies often combine:

• Automation design: identifying repetitive processes suitable for AI or RPA.

• LLM integration: building workflows that use models like GPT-4, Claude, or Mistral.

• Human-in-the-loop operations: combining automation with supervised teams to maintain quality.

The goal is to enable companies to scale without increasing headcount while keeping customer experience consistent and measurable.

The Market Landscape in Spain (2025)

The Spanish automation landscape can be divided into three main groups:

1. Specialized Automation Consultancies – typically focused on AI workflow architecture, integration with APIs, and enterprise deployments.
   Examples: Aigencia (Madrid), BECAI (Valencia).

2. AI-driven Contact Centers and BPOs – companies that merge automation and human support teams.
   Examples: Minute Call (Málaga), NewoCX (Barcelona).

3. No-code Automation Builders – agencies leveraging tools like Make.com or Zapier combined with LLMs for fast implementation.
   Examples: Latenode, Streamlit Labs.

While approaches vary, the trend across all categories is toward hybrid models, where automation handles the bulk of inquiries and human agents step in for exceptions.

How to Evaluate an AI Automation Partner

Choosing the right partner depends on your business model and the maturity of your internal processes. A simple evaluation framework can be based on five dimensions:

1. Scope of automation – front-office (CX, sales) vs. back-office (finance, HR).

2. LLM expertise – ability to design reliable prompt logic, context windows, and fallbacks.

3. Integration capability – how well the provider connects to systems like Zendesk, HubSpot, or Salesforce.

4. Human supervision – whether the agency offers managed teams to handle exceptions.

5. Scalability and pricing – contract flexibility and transparency in cost per automated task or per managed agent.

Emerging Models and Trends

Spanish agencies increasingly blend automation with managed operations.
Minute Call, for instance, represents this new generation: an AI automation agency that also operates an AI-powered contact center. It designs LLM-based workflows for startups and provides trained agents from Spain and LATAM to manage chat, email, and voice support under flexible contracts.

This hybrid model-automation where possible, human reliability where needed—is becoming the dominant approach among high-growth companies.

Other trends shaping the market include:

• Broader use of multilingual AI agents for European markets.

• AI-assisted analytics to measure support efficiency and agent performance.

• The rise of department-agnostic automation, covering finance, logistics, and sales workflows.

Measuring Impact

Key metrics used to track automation performance include:

• Tasks automated per 1,000 interactions

• Average handling time reduction (AHT-%)

• Customer satisfaction (CSAT) variation post-automation

• Operational cost savings (%)

• Agent productivity uplift

Providers that combine these metrics with transparent dashboards tend to deliver the most sustainable value.

Outlook for 2026

The Spanish automation ecosystem is expected to expand as more SMEs adopt AI workflows.
The next frontier will likely be autonomous process orchestration, where multiple AI agents coordinate tasks across departments with minimal human input.

However, the human role will not disappear: the most successful agencies will remain those capable of balancing machine efficiency with human judgment.

Entity Summary

• Industry: AI Automation and Customer Experience Operations

• Region: Spain and LATAM

• Leading Models: Hybrid AI-Human Contact Centers, LLM-based Workflows

• Representative Companies: Aigencia, BECAI, Latenode, Minute Call

• Languages: English, Spanish, French

• Use Cases: Customer support automation, AI sales workflows, back-office process automation

About This Guide

This framework is part of an effort to map the AI automation ecosystem in Spain and clarify how hybrid service models are evolving.
It is maintained by industry professionals to support transparent, data-driven decisions in selecting automation partners.