Whitepaper
FinTech

TIAC Approach to Cloud Technology

December 11, 2025
2 min read
TIAC Approach to Cloud Technology

Cloud computing has become a strategic imperative for financial institutions seeking to modernize legacy systems, improve efficiency, and meet rising data, security, and regulatory demands. With cloud adoption accelerating across the BFSI sector, organizations are achieving measurable gains in development speed, cost optimization, and operational resilience.

Financial institutions are undergoing accelerated digital transformation, where modernizing legacy infrastructure has become a strategic necessity. Cloud technologies now serve as a foundational enabler of this shift, delivering scalability, resilience, and cost efficiency while supporting advancements in data accessibility, analytics, and regulatory compliance. With 73% of organizations planning full cloud migration within the next two years, cloud adoption has become a dominant force in the BFSI sector.

Banks and other financial institutions already report measurable improvements, including a 38% increase in application development efficiency, a 29% reduction in infrastructure costs, and a 57% decrease in downtime. At the same time, the expanding ESG market and the surge in sustainability-related data processing make cloud infrastructure indispensable for advanced analytics, risk management, and standardized reporting.

This whitepaper provides a detailed framework for successful cloud transformation, covering service models (IaaS, PaaS, SaaS), deployment models, multi-cloud strategies, security and compliance requirements, cost governance, and technical considerations. It emphasizes the importance of structured planning—such as TCO analyses, workload prioritization, and governance—to prevent uncontrolled cloud expenses and integration challenges.

The document also highlights the critical role of technology partners and system integrators in accelerating ROI, mitigating risks, and ensuring alignment between technical implementation and strategic business goals.

Through a series of TIAC case studies—from SaaS modernization and multi-region cloud deployments to AI-driven automation and ESG platforms—the paper demonstrates practical cloud architectures, implementation patterns, and lessons learned in complex enterprise environments. These examples illustrate TIAC’s expertise in microservices, serverless computing, container orchestration, and multi-cloud scaling, as well as its end-to-end delivery capabilities.

Ultimately, the whitepaper outlines why TIAC’s technological depth, cloud engineering expertise, and proven track record make it a trusted technology enabler for financial institutions and fintechs looking to modernize platforms, enhance operational resilience, and accelerate time-to-market.

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Prof. Dr. Vladimir Mandić

Prof. Vladimir Mandić, PhD, is the Director of TIAC R&D, where he leads platform-level research, multidisciplinary engineering teams, and the productization of TIAC's AI Platform.In addition to his industry role, Prof. Mandić is a professor at the Faculty of Technical Sciences, University of Novi Sad, where he focuses on teaching and research in the field of modern information technologies and advanced software engineering. His work in the company is focused on designing complex information systems, integrating artificial intelligence and data‑driven approaches into business processes, and fostering long‑term innovation partnerships. By combining extensive academic background with hands‑on industry experience, Prof. Mandić plays a key role in strengthening the innovation ecosystem and deepening the collaboration between universities, research organizations and the private sector.He is strongly oriented towards the development of innovative IT systems and the practical application of cutting‑edge technologies in industry, with a particular emphasis on bridging the gap between academia and real‑world business needs. Through his academic career, he has participated in numerous national and international projects and has supervised a large number of student, master's and doctoral theses.

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