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.

Everyday AI workshopsDelivered

Talk to our team

CASE STUDY · SOURCE: IRONHACK ACCOUNT MATERIALS

NESTLÉ · 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.

Request your diagnostic

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.

Framework

What Copilot is actually good at, in plain terms.

Hands-on

Guided practice inside the team's own tools.

Prompting

A shared framework, not personal trial and error.

Build

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

Commit

One change, signed in the room, checked later.

EVERYDAY AI IN SESSION · ILLUSTRATIVE PHOTO

Download full brochure

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.

Get in touch

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 work

A 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.

Request your diagnostic

Client proof