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Corporate AI Training

Case Study

How we built voluntary GenAI adoption at a 100,000+ person company

Starting with 19 early adopters, scaling to 400+ employees — proving GenAI training can meet even the strictest safety and security requirements.

Run this program at your company

Program outcomes

+68%

Average knowledge lift across all cohorts

NPS 46

Overall program average

19→400+

Employees trained as the program scaled

2 tracks

Delivered after the pilot. Expansion in progress.

The client: A global industrial corporation. HQ in Northern Europe. 100,000+ employees. Operations in 190+ markets.

Program delivered

GenAI for Productivity — Workshop (pilot: 19 people)

Track 1 & Track 2 — company-wide rollout (400+ employees)

Voluntary Knowledge Sharing sessions — run months after the program

Format & delivery

Live online, trainer-led sessions

Tools pre-approved by the client's security team

Pre/post knowledge measurement built into every cohort

Iterative: each sprint closed with concrete program changes

The ambition was clear.
The path wasn't.

The client is a global industrial corporation with operations in 190+ markets and a workforce of over 100,000 people. At the corporate level, the push toward AI adoption was already in motion. On the ground, two things stood in the way: teams couldn't see where AI fit their daily work, and in a safety-first environment, the questions about reliability and data security were real — not obstacles to push past, but the starting point of any credible conversation.

Beetroot Academy came in at the beginning. Before a single slide was built, we ran Customer Development interviews and a pre-launch survey. Fears, workflows, constraints — all of it shaped the program before any methodology did.

The Problem

The strategy existed.
The will to change didn't.

Two things stood in the way — and both needed a real answer before adoption could move.

Teams couldn't see where AI fit their actual work

People had heard of these tools. The gap was practical: where exactly does AI fit into my specific workflow, on a regular Tuesday? That question needed a concrete answer, not a general pitch about the future of work.

Safety and security concerns were real — and reasonable

In a safety-first industrial environment, teams needed more than enthusiasm before they'd trust a new set of tools. Questions about reliability, data handling, and unpredictable outputs weren't pushback to manage — they were the starting point of any honest conversation about adoption.

Cultural inertia at scale

With 100,000+ employees across 190 markets, no single mandatory rollout would work. The adoption question was also a change management question: how do you build a GenAI culture in a company that isn't ready to change — but can no longer afford not to?

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How We Did It

We treated every session
as a design experiment.

Each cohort generated data. Each sprint closed with real changes to the program. By the time we scaled, ~80% of recurring problems had already been eliminated.

01 We listen first, design second

Before writing a single slide, we ran Customer Development interviews and a pre-launch survey. Fears, workflows, constraints — all of it shaped the program before any methodology did.

Client-First

02 Iterative improvements, every sprint

A working prototype, tested with a real cohort, refined after every session. Retro, backlog, one concrete change before the next run. By the end of the pilot, ~80% of recurring friction points were gone.

Iterative

03 Security concerns met head-on

Every tool was already inside the client's ecosystem, cleared by their security team, with usage guidelines developed together. A potential blocker became a trust signal.

Security-Approved

04 Knowledge that transfers

Every block: Theory → Practice → Reflection. Practice built around tasks from participants' own work. Reflection in shared Miro boards. The measure of success was knowledge people could use the following week.

Experiential

05 Carefully selected expert facilitators

Every trainer passed three stages before reaching a client: expert screening, a live demo, and a full internal test workshop. CSAT held at 4.45–4.55/5 across all of them.

Quality Gate

06 Every participant leaves with an action plan

Each workshop ended with a structured self-audit: one concrete task to apply GenAI the following week. The L&D manager received an aggregated report on where AI could create the most value across teams

Outcomes-Focused

"A useful overview of AI tools and practical cases for increasing productivity in daily work. The interactive format, specific examples, and the opportunity to practice prompting helped me better understand how to apply AI in practice. Discovering new tools and approaches to working with real-world tasks was particularly valuable."

L&D Manager

NDA (automotive & mobility sector)

Measured Impact

Four levels of measurement.
Evidence that something changed.

The real question: does the organisation operate differently afterward?

L1 — Reaction

CSAT 8.27/10 — overall average

Overall NPS of 46 — a score that reflects genuine willingness to recommend, not polite feedback. Trainer CSAT held at 4.45–4.55/5 across all cohorts.

L2 — Learning

Knowledge lift: +55–68%

Pre/post scores across all cohorts confirmed the knowledge was real and consistent — not a one-off pilot result.

L3 — Behaviour

Commitment rate: 100%

~50% requested certificates. 30% came back to voluntary Knowledge Sharing sessions months later — without being asked.

L4 — Results

Internal case for Copilot adoption built

Workflow audits identified 20–40% time savings potential on key tasks. The program helped build the internal case for Microsoft Copilot rollout company-wide.

Start

Pilot — 19 people

Research, empathy mapping, program designed around real workflows and security constraints.

Validation

+55–68% knowledge lift

Hard data gave stakeholders confidence to scale. Internal evangelists began spreading adoption peer-to-peer.

Scale

400+ employees

Company-wide rollout across two tracks. Trainer CSAT remained steady at 4.45–4.55/5.

Now

Copilot + expansion

Program helped build the internal case for Microsoft Copilot. Client is exploring further expansion.

What People Said

Feedback from participants
about the trainers.

Anonymous review

Seems like you are a natural speaker, kind of retain the audience's attention to the content. And also motivate us that Learning AI is easy!

Anonymous review

The trainer is really good and experienced. Showed what is safe and not for our organization. Really satisfied with the training and excited to put in work.

Anonymous review

The most valuable aspects of the session were the instructor’s active involvement, the clear and engaging teaching approach, and the small learning tasks, which made the concepts easy to understand and kept the session highly interactive.

L&D Manager

A useful overview of AI tools and practical cases for increasing productivity in daily work. The interactive format, specific examples, and the opportunity to practice prompting helped me better understand how to apply AI in practice. Discovering new tools and approaches to working with real-world tasks was particularly valuable.

Get in touch

Your company could be next.

Tell us about your team — size, roles, current skill level, and any security constraints. We'll come back with a program that actually fits.

Prefer email? b2b@beetrootacademy.com

We have received your application!

Thank you for your interest in learning at Beetroot Academy

We will contact you within one business day and answer all your questions.

Sorry, this is a technical error. Please try again!

Looking to upskill yourself or your team?

We have received your application!

How we built voluntary GenAI adoption at a 100,000+ person company

Program delivered

Format & delivery

The ambition was clear.The path wasn't.

The strategy existed.The will to change didn't.

Teams couldn't see where AI fit their actual work

Safety and security concerns were real — and reasonable

Cultural inertia at scale

We treated every sessionas a design experiment.

01

We listen first, design second

02

Iterative improvements, every sprint

03

Security concerns met head-on

04

Knowledge that transfers

05

Carefully selected expert facilitators

06

Every participant leaves with an action plan

Four levels of measurement.Evidence that something changed.

Feedback from participantsabout the trainers.

Your company could be next.

We have received your application!

The ambition was clear.
The path wasn't.

The strategy existed.
The will to change didn't.

We treated every session
as a design experiment.

Four levels of measurement.
Evidence that something changed.

Feedback from participants
about the trainers.