Success case · Nestlé

Nestlé: turning scattered Copilot use into one shared way of working

Nestlé's teams had already adopted Copilot on their own. Ironhack's Everyday AI format turned that into a standard the whole organization could scale, with a personalized AI Academy now being scoped as the next step.

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CASE STUDY · SOURCE: IRONHACK ACCOUNT MATERIALS

Nestlé office building facade with the Nestlé nest logoNESTLÉ · EVERYDAY AI PROGRAM
The challenge

AI adoption was already happening. It just wasn't going anywhere as a team.

Employees were already reaching for Copilot on their own initiative, each in their own way, with no shared standard and no way to tell whether the time saved was real.

A discovery session mapping how teams already use AI day to day
98%

of executives believe AI will drive operational efficiency and growth.

Accenture, Technology Trends
85%

of companies plan to upskill their workforce in AI.

World Economic Forum, Future of Jobs
10–20%

is the typical completion rate of generic, one-size-fits-all AI training. It isn't a training problem, it's a design problem.

Ironhack AI Academy benchmark
Generic content for every role rarely gets finished, let alone applied. The fix isn't more content, it's a role-specific path with a real project at the end of it.
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What's delivered

Everyday AI: half-day, hands-on, on Nestlé's own stack

The first depth level of Ironhack's model: short, high-intensity sessions that turn existing Copilot access into a shared way of working, team by team.

01

Framework

What Copilot is actually good at, in plain terms.

02

Hands-on

Guided practice inside the team's own tools.

03

Prompting

A shared framework, not personal trial and error.

04

Build

Applied to a real case from the team's own week.

05

Commit

One change, signed in the room, checked later.

An Ironhack facilitator leading a live workshopEVERYDAY AI IN SESSION · ILLUSTRATIVE PHOTO
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What's next

Scoping a personalized AI Academy on top of it

Nestlé and Ironhack are now scoping the next depth level: a structured academy that turns Everyday AI's momentum into role-based learning paths.

A team reviewing a learning path proposal together

Learning paths

  • Each employee follows a path fitted to role and skill level: Foundational, Intermediate, Advanced.
  • Industry-specific personalization for HR, Finance, Marketing and beyond.
  • A profile-mapping phase assigns each person to the right level before day one.

Real projects

  • Every path ends in a project with a tangible ROI, not a certificate of attendance.
  • Foundational → personal productivity. Intermediate → workflow automation. Advanced → AI-powered products and services.
  • Ironhack's benchmark across AI Academy engagements: a 6-month average payback period.

How it's tracked

  • The Student Portal centralizes classes, content and exercises.
  • An AI Tutor embedded in the LMS gives real-time feedback and adapts as each learner progresses.
  • ROI is calculated from time saved on real projects against total program cost, not hours attended.
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Where things stand

One format proven, one model being scoped

Everyday AI workshops — deliveredPersonalized AI Academy — in scoping
A workshop participant applying a Copilot prompt in her day-to-day workA PROMPT FROM THE SESSION, ALREADY PART OF THE DAY-TO-DAY · ILLUSTRATIVE PHOTO
The base model doesn't change between depths: audit real use, map it by task, and only then decide what gets standardized. Everyday AI proved the format. The AI Academy is the same model, one level deeper.
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Same model, different depth

Ready to bring this model to your own teams?

Start with a half-day activation, or go straight to the full diagnostic.

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