Smollan Completed Global Google Workspace Migration
The international firm migrated over 9,000 users and 7 petabytes of data to better support global collaboration and AI adoption.
Updated on Oct. 5, 2026 in Business Strategy
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Smollan finished a 547-day transformation program in June 2026, moving 9,064 users across 25 companies to Google Workspace. The project, which spanned 19 countries and 24 time zones, involved the transfer of 2.4 billion emails and 290 billion documents.
Why it matters
The migration reflects a broader operational shift toward productivity environments that prioritize real-time, cross-border collaboration. By moving to a unified cloud ecosystem, the company intends to better embed artificial intelligence into its everyday workflows.
The 547-day program successfully transferred 7.01 petabytes of data for 9,064 users across 25 companies, achieving a 99.77% success rate. The project resolved 8,500 support queries during the transition period.
The players
Smollan
A global retail solutions company that manages field marketing, sales, and merchandising operations for consumer goods brands.
A multinational technology conglomerate that provides cloud-based productivity and collaboration tools through its Google Workspace suite.
The details
To execute the transition, Smollan utilized a coexistence architecture, enabling Microsoft 365 and Google Workspace to run concurrently during the shift. Technical teams segmented the 9,064-user base into distinct cohorts defined by their specific business unit, geographical region, and risk profile, which helped ensure no operational downtime occurred.
Timeline
The migration programme concluded in June 2026.
Market Landscape
The project follows an industry-wide trend of migrating legacy email and document systems to Google Workspace to unify fragmented international operations. This deployment serves as a prerequisite for enterprises seeking to integrate AI-driven analysis tools across global business units.
Operators planning major cloud migrations should prioritize a cohort-based rollout strategy to minimize operational risk during the cutover. Evaluating your organization's readiness for AI integration is a key financial metric to weigh when choosing between disparate legacy tools and consolidated cloud platforms.
The takeaway
The success of a large-scale migration relies on balancing a coexistence architecture with clear segmentation of risk profiles. As a next step, operators should audit their current data storage requirements to determine if cloud-native productivity suites provide the necessary foundation for future AI automation.
Further reading
For more on managing enterprise-wide digital transitions, see Business Strategy.
Source note: This article includes information reported by Intelligentcio.
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