ORG TOPOLOGIES 

This study is about the replatforming of a big e-commerce legacy application to Salesforce in a retail company.

Faking agile was survivable — faking AI isn't. AI-native startups set a 100X benchmark that exposes change theater. Narrow mandates and pinned teams create 1X dynamics: local acceleration, zero compound gain. Multi-learning — Principle 8 of 10X ORG — is the structural fix. M-shaped people, not T-shaped. Must-shaping, not optional. Keywords: 100X benchmark, Ferrari Effect, 1X dynamics, multi-learning, Embed Multi-Learning, mandates, Delivery Topology, Adaptive Topology, chang

Background This case study documents an ongoing organizational design journey within the IT department of one of Europe’s largest and most complex technology companies—a global high-tech systems manufacturer operating at the frontier of precision engineering and software development. The IT organization is structured around the Scaled Agile Framework (SAFe), with Agile Release Trains (ARTs) organized primarily around business capabilities—planning, Procurement, Materials Mana