SOFTSWISS Reports 600% Return From AI Localization
The gaming company said an AI-powered localization workflow let it avoid hiring an additional localization manager during expansion.
Updated on Nov. 4, 2026 in Language Learning
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SOFTSWISS reported a return on investment of more than 600% from an AI-powered localization workflow that distributed tasks among its existing localization managers. The results were presented in a panel titled "AI vs. Complexity: Can Tech Simplify Cross-Border Growth?" at SiGMA World Rome 2026.
Why it matters
The company needed a new localization manager during expansion and instead turned to AI to handle the added workload. The reported figures offer one example of how firms serving multiple markets are weighing automation against additional hiring.
The figure is a company-calculated QROI measured after one year of use, compared against the avoided cost of an additional hire. Independent verification of the calculation method was not reported.
The players
SOFTSWISS
SOFTSWISS is an iGaming software provider that develops casino platforms and game content for operators across multiple international markets.
The details
SOFTSWISS needed a new localization manager two years before the ROI was reported. Instead, it implemented an AI workflow that distributed localization tasks among its existing localization managers, and it calculated the return after one year.
Timeline
Two years before the 2026 panel: SOFTSWISS expanded and needed a new localization manager.
After one year of implementation: The company calculated a return of more than 600%.
November 4, 2026: The article reporting the 600% ROI claim was published.
Culture Shift
The report reflects a wider movement among multilingual digital businesses to use AI localization tools in place of additional hiring as they expand into new language markets.
Teams managing content across several languages may find that AI workflows can absorb translation tasks without immediate new hires. Readers planning similar localization changes should check how the calculation accounts for review and quality costs.
The takeaway
Localization costs can often be reduced by reorganizing existing staff around AI tools rather than adding roles. Measuring results over a full year, as SOFTSWISS did, gives a clearer picture than short-term estimates.
Further reading
Explore more on Language Learning to see how localization and translation tools are shaping multilingual communication.
Source note: This article includes information reported by Tribuna.
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