Platform Strategy for Mergers, Acquisitions & Divestment | Weave Intelligence

Platform Engineering (community)
Platform Engineering (community)May 20, 2026

Why It Matters

For investors and executives, getting platform strategy right in acquisitive groups unlocks cost synergies and faster product rollouts; getting it wrong risks wasted integration effort and costly disentanglement during divestitures. The discussion reframes platform engineering as a strategic tool that must be designed for both consolidation and reversibility.

Summary

Aviv Group’s platform director Jelco described the unique platform-engineering challenges in corporate groups built from multiple similar-sized acquisitions rather than a single dominant acquirer. Such groups offer high synergy potential from a shared platform across real-estate classifieds brands, but deliverables are complicated by cultural, organizational and technical heterogeneity and the lack of a clear consolidation point. Frequent acquisitions and divestments create timeline instability: teams may onboard to shared capabilities only to face a later separation that requires redecoupling. As a result, platform strategy must balance standardization with modularity to enable both scale and future divestment.

Original Description

What happens when your company is constantly changing through mergers, acquisitions, divestments, and transformation programs?
In this episode, Sam Barlien sits down with Željko Obrenović - Director of Platform Engineering and former Chief Group Architect at Aviv Group - to explore one of the hardest challenges in enterprise platform engineering: building platforms across large, evolving organizations.
Together they discuss:
- Platform engineering in acquisition-heavy enterprises
- The reality of mergers, divestments, and shared platforms
- How architecture and platform engineering overlap
- Why business strategy should shape platform strategy
- The dangers of over-investing in platform initiatives
- Platform governance, transformation, and organizational complexity
- Data-driven decision making for platform teams
- How AI may reshape enterprise transformation timelines
This is a must-watch conversation for platform engineers, architects, engineering leaders, and anyone working inside large enterprises navigating modernization and organizational change.
Dive into more insightful research at https://weaveintelligence.io

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