---
title: "AI moves beyond the experimentation phase: companies are starting to demand results, savings and productivity — Marsanne Studio AI watch"
description: "According to the consultancy zenital, companies are moving from experimenting with AI to demanding measurable results in savings and productivity."
url: "https://marsanne.studio/en/ai-watch/ai-moves-beyond-the-experimentation-phase-companies-are-starting-to-652fa0/"
lang: "en"
---

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Press release · 2 October 2026

# AI moves beyond the experimentation phase: companies are starting to demand results, savings and productivity

Original title, in Spanish: “La IA deja atrás la fase de experimentación: las empresas empiezan a exigir resultados, ahorro y productividad”

**Publication**

RRHH Digital (Spain)

**Author**

Unsigned

**Published on**

2 October 2026 · read in the page structured data

## Summary

According to zenital, a Spanish consultancy specialising in data and AI, companies are entering a second phase of generative AI adoption in which the priority is no longer to test tools but to demonstrate concrete results: time savings, cost reduction and automation. Manel Vericat, data and AI training specialist at zenital, cites a project to automate the collection of training needs, which cut the estimated duration from 240 to 80 hours. The consultancy, which has trained more than 200 professionals from around fifteen companies in one year, identifies four recurring obstacles: unfamiliarity with the tools, a limited understanding of the technology, organisational rigidity and the pace at which AI is evolving. It also stresses the growing importance of data quality and governance, and announces ten employees certified on Anthropic's Claude, with a view to a Claude Select Partner partnership.

Summary based on the full text of the article.

[Read the article on RRHH Digital →](https://www.rrhhdigital.com/secciones/tecnologia-e-innovacion/803123/la-ia-deja-atras-la-fase-de-experimentacion-las-empresas-empiezan-a-exigir-resultados-ahorro-y-productividad/)

## Figures cited

-   240 hours
    
    Duration of the training needs collection task before AI automation
    
    Project carried out by zenital for a client
    
    > « Esta tarea requería inicialmente unas 240 horas de trabajo y, mediante la aplicación de IA, se estima que puede reducirse hasta las 80 horas, lo que supondría liberar alrededor de 160 horas de trabajo. »
    
    Source: zenital
    
-   80 hours
    
    Estimated duration of the task after applying AI
    
    Project carried out by zenital for a client
    
    > « Esta tarea requería inicialmente unas 240 horas de trabajo y, mediante la aplicación de IA, se estima que puede reducirse hasta las 80 horas, lo que supondría liberar alrededor de 160 horas de trabajo. »
    
    Source: zenital
    
-   200 people
    
    Number of professionals trained in AI by zenital over one year
    
    Around 15 companies, one year
    
    > « zenital ha formado a más de 200 profesionales de alrededor de 15 empresas en inteligencia artificial, principalmente de las áreas de Ventas, Operaciones y Administración. »
    
    Source: zenital
    
-   10 people
    
    Number of Claude-certified professionals at zenital
    
    zenital
    
    > « Actualmente, diez profesionales de la compañía cuentan con la certificación Claude Certified Architect Foundations »
    
    Source: zenital
    

## Classification

**Country**

Spain

**Company size**

All sizes

**Industries**

All industries, or industry not specified

**Companies**

Anthropic (supplier), zenital (study author)

**Keywords**

ai adoption, productivity, data governance, professional training, return on investment, zenital

Entry written by Marsanne Studio from the cited article, with the help of an AI model (claude-sonnet-5). The rights to the article and its illustrations belong to RRHH Digital. Entry translated from French by Claude Sonnet 5.5.