English 
ChillStack Inc. signed a sales contract with TIS Inc., a member of the TIS Intec Group, for the personal expense fraud detection cloud “Stena Expense” on May 29, 2025. This will allow ChillStack to begin sales in partnership with Spendia, a cloud-based expense settlement system from the business management service group “ACTIONARISE” provided by TIS.
At the same time, the company also signed a contract to distribute “Spendia” provided by TIS through ChillStack. By combining “Stena Expense” and “Spendia,” companies will be able to improve the productivity of expense settlement operations and strengthen corporate compliance.
近年、リモートワークの普及や業務プロセスのデジタル化が進む一方で、企業内のコミュニケーション不足やリスク管理の複雑化により、経費精算における不正やミスが増加しています。また、インボイス制度などの法改正により、経理・財務部門の業務負担が増大しています。
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To address this issue, ChillStack has provided a highly accurate fraud detection service using AI called “Stena Expense,” which has helped to streamline accounting operations and reduce fraud risks. Meanwhile, TIS offers “Spendia,” a cloud-based expense settlement system developed to suit Japanese systems and business practices, based on the knowledge the company has gained from providing expense settlement systems for over 20 years. Although it is a SaaS, it has a wealth of functions and flexibility that can meet the unique requirements of large companies, and is characterized by its convenience in allowing expense settlement to be completed using a smartphone app. However, especially in large companies, it is necessary to detect anomalies from large amounts of data, and there is a demand for further reduction in the workload of accounting staff and strengthening of governance.
これらの課題を解決するため、両社は以下のようなシステムを構築しました。 チルスタック‘s “Stena Expense” and TIS‘s “Spendia” to be mutually sold in partnership. By inputting expense settlement data managed by “Spendia,” company-specific internal rules, and employee attendance data into “Stena Expense,” it is possible to automatically detect violations of regulations and overuse from large amounts of data that were previously difficult to check visually. By utilizing AI technology to comprehensively analyze expense application data in chronological order, it is possible to reduce the burden of checking work on company accounting staff and strengthen governance by detecting fraud such as violations of regulations.
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