B.

Booking.com

How the founder of Shift Labs accelerated AI adoption across 500+ developers globally.

500+

engineers trained

42

solutions in 5 days

10%

to production in 6 months

10x

industry average

This case study is from Mike's time as AI Adoption Lead at Booking.com. It's the experience that led to founding Shift Labs, and the methodology we now bring to other organisations.

Mike Brits at Booking.com

The Story

The Challenge

Booking.com had 500+ developers across multiple countries who wanted to use AI but didn't know where to start. Traditional procurement was slow. Third-party tools created security and compliance headaches. Teams had ideas but lacked the skills and framework to actually build anything.

The Approach

Rather than buying tools, we taught teams to build their own. The methodology combined three things:

  • Strategic alignment: Senior stakeholders created 12 challenge papers identifying real business problems worth solving
  • Hands-on training: The Agentic Academy took developers from zero AI experience to building functional agents
  • Intensive building: A one-week hackathon where 120 people built 42 working solutions

The Results

  • 42 working solutions built in one week
  • 10% reached production within 6 months
  • 16 additional ideas committed to within 12 months
  • 98% 5-star training reviews
  • Directors who'd never used AI now use it daily
  • Self-sustaining innovation culture established

“The 10% production rate wasn't luck. It came from teaching teams to identify real problems and build practical solutions. That's why I founded Shift Labs.”

Mike Brits, Founder

What Teams Built

These aren't hypotheticals. Real solutions built during the hackathon that went on to save real time and money.

Third-Party Integrations

AI-powered validation and automated data transformations

30% faster integration time

Data Ingestion

AI agent to automatically ingest and classify supplier data

80% time saved, 95% data parity

Data Criticality

Automated classification using schemas and code references

87% accuracy

Jira Agent

Slack + GenAI for collaborative ticket creation

94% better ticket consistency

Code Migrations

AI-powered automation for config migrations

90% time saved

MCP Services

Global services integrating Jira, GitLab, and internal systems

Enhanced context for all dev teams

Let's Talk

This methodology is now available to your organisation. Let's discuss how we can help your team.