AI IS REDEFINING EVERYTHING

Months trying to integrate AI into your organisation, but with no compass.

Pilots, tools, licences and self-taught learning. You invest time, money and expectations, and almost nobody can show with data whether it is working.

Real pilotsNo technical backgroundWith support

But…

Are you doing it right?FUNDAE-FUNDABLE · AI, A PRIORITY SECTOR IN 2026

PRODUCT GUIDE · B2B WEBSITE · JULY 2026

A packed Ironhack audience at a live tech talkIRONHACK COMMUNITY EVENT · TECH TALKS FORMAT

ALREADY WORKING WITH US

  • CaixaBank
  • Sanitas
  • Nestlé
  • MediaMarkt
  • SEAT
  • Santander
  • Openbank
  • Accenture
  • Acciona
  • AstraZeneca
  • Digital Femsa
  • DKB
  • Banco Popular
  • Unilever
The real market

The question is no longer "are we using AI?", it's "who's using it, how, and with what control?"

79%

of Spanish companies with more than 50 employees already have at least one AI tool deployed.

IDC, AI Adoption Gap Spain 2026
23%

report a measurable impact. The rest: scattered use, no standards, and no measured return.

IDC, AI Adoption Gap Spain 2026
9/10

were already using AI on their own (Claude, ChatGPT, Lovable), each in their own way, with no control or shared criteria.

Real discovery, 5-company holding group, Jun 2026
The problem isn't a lack of AI, it's a lack of control: scattered use, no data governance, and no measured impact. The value proposition is turning that use into a governed, measurable model, with shared criteria across the whole workforce, data under control, and return quantified by task.

And there's a regulatory clock ticking: art. 4 of the AI Act requires AI literacy training for the entire workforce since Feb 2025, with penalties in force from Aug 2026. Governance stops being optional and becomes a requirement with a deadline.

THE PRINCIPLE

AI is not just a subject to be taught.
It is a capability you switch on.

Six phases. One AI strategy.

CONSULTING

  • 01 · DISCOVER

    A 360º assessment: questionnaires, interviews and observation on the job. We come out with the real map of tasks and the candidate cases.

  • 02 · PRIORITISE

    A matrix of impact, feasibility and appetite, validated with IT and with each area. The result is a prioritised catalogue of cases.

  • 03 · DESIGN

    Every case ends up fully defined: the tool, a validated prompt, the estimated saving, the indicator and the evidence.

EXECUTION

  • 04 · ACTIVATE

    Activation by role, and training the internal champions. We put people to work, not just to attend.

  • 05 · MEASURE

    Adoption dashboards by area, role and case. Auditable evidence and clear commitments to follow up against.

  • 06 · ITERATE

    Continuous improvement from data: new cases and updated content. The adoption engine does not stop.

A continuous process, with no expiry date.

Workshops

Workshops on Claude, Copilot and ChatGPT, with results you can apply right away

Short sessions on the client's own stack. The first level of the offering, scalable to the whole workforce.

See the workshopsFUNDAE-fundable
An Ironhack facilitator mapping a team's workflow on a sticky-note board

AI Consulting

AI Consulting: the assessment that turns scattered AI use into a prioritized plan

Phase by phase, with estimated savings per task and a go / no-go decision at the end of each one.

A consultant working at a whiteboard while the team takes notes
The website's edge

A calculator that puts savings in euros, and makes the workshop nearly free

Enter your numbers and discover, in real time, how much time your team frees up with AI done right, and how much FUNDAE gives back.

Realization factor, conservative
Hours freed · year 14,512 hemployees × hours/week × 47 × realization factor
Estimated savings · year 1€126,336payback in 1 month
Estimated FUNDAE credit€3,750on a reference AI training budget

A directional estimate for sales conversations, using a conservative realization factor. It doesn't replace the assessment or current FUNDAE regulations, which depend on headcount and the credits the company has already used.

AI School

AI School: the in-house academy that sets the standard for working

The model plus role-based training, with internal capacity to sustain it, assessment included.

See AI SchoolFUNDAE-fundable
A cohort session in progress, power users learning by doing
Why Ironhack

A proven, repeatable model, ready to scale across accounts

01

Proven, standardized method

Census, matrix, and use-case catalog already built. Same quality on every account, nothing reinvented.

02

Network of trainers and technical staff

Scales without depending on one person. Availability and delivery guaranteed.

03

Quality QA on every deliverable

Every report and proposal is checked before it reaches the client. Zero surprises in front of the account.

04

Multi-stack

Claude, Copilot, ChatGPT. Fits any account, whatever their ecosystem.

Client proof

Real stories with Ironhack

The same activation, consulting and school model, already delivered.

Nestlé

Nestlé — Everyday AI

Half-day Copilot workshops delivered across teams, with a personalized AI Academy now being scoped as the next step.

See full story
AstraZeneca

AstraZeneca — Data-Driven

A global sensitization session plus 30 internal ambassadors trained in a 40-hour program, with role-based rollout next.

See full story
Santander

Santander — talent pipeline

Java bootcamps since 2021 across 5 countries, plus OpenBank's #WomenInTech cohort: 37 and 16 hires respectively.

See full story
CaixaBank

CaixaBank — Data & AI School

A 4-year, single-partner tech school for 6,000 employees across AI, Business Analytics and Digital Transformation.

See full story
Let's start with the assessment

The same model, at whatever depth your company needs today

Nothing to redo if you want to go further later. Let's talk about your case.