AI cost forecasting and FinOps automation: the future of cost management by 2027
Shifting from reactive invoice analysis to proactive cost modeling during architectural design using unit economics and AI assistants.
Yaryna Doroshenko6 min readCONTROLLED FINANCE
Softengi
Practical guidance on management accounting, budgeting, treasury, period close, financial controls and evidence-based AI.
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17 publications
Yaryna Doroshenko6 min readCloud-native architecture and cost: how design impacts TCO
Why cloud bills rise after migration and how to embed financial efficiency (FinOps) into infrastructure design during the application planning stage.
Yaryna Doroshenko6 min readDomain-specific AI models for enterprise applications
Domain-specific AI models are becoming a key tool for modernizing enterprise applications in 2026-2027, overcoming legacy system limitations.
Valerii Zadorozhnyi7 min readAI у FinOps: Optimizing cloud spending in multi-cloud environments
AI in FinOps aids in forecasting and controlling cloud expenditure, ensuring budget transparency and resource management discipline.
Yaryna Doroshenko6 min readFinOps in multi-cloud: How banks optimize costs and boost efficiency
FinOps helps banks control rising cloud expenses, identify surplus resources, and ensure budget transparency in multi-cloud environments.
Yaryna Doroshenko7 min readOptimizing multi-cloud costs with AI and NIS2 compliance
AI-driven FinOps optimizes multi-cloud spending while ensuring NIS2 compliance. Effective cloud resource management under new regulations.
Yaryna Doroshenko5 min readFinOps: Optimizing Cloud Infrastructure Costs
FinOps helps companies effectively manage cloud resource expenses by combining finance and IT operations to maximize investment value.
Yaryna Doroshenko4 min readRPA and low-code: synergy for complex BPM automation by 2026
By 2026, over 80% of large enterprises will leverage a combination of RPA and low-code platforms to optimize business processes. This approach accelerates development time and enhances automation efficiency.
Valerii Zadorozhnyi4 min readAI-driven FinOps: The future of multi-cloud cost management by 2026
By 2026, over 80% of large enterprises utilizing multi-cloud infrastructures will integrate artificial intelligence into their FinOps strategies to optimize costs and enhance efficiency. This shift is driven by the increasing complexity of cloud environments and the need for automated data analysis.
Yaryna Doroshenko4 min readData security in a multicloud world
By 2026, over 80% of large enterprises will adopt hybrid and multicloud strategies, necessitating a reevaluation of approaches to comprehensive information security systems (CIS). This article examines the key aspects of building CIS for complex infrastructures.
Yaryna Doroshenko3 min readAI-driven low-code accelerates BPM development by 2026
By 2026, over 75% of new enterprise applications are projected to be developed using low-code or no-code platforms. Integrating artificial intelligence into these platforms significantly speeds up the creation and optimization of BPM systems.
Valerii Zadorozhnyi3 min readAI-driven data governance for system integration quality
By 2026, over 70% of successful digital transformation initiatives will rely on an effective Data Governance strategy integrated with artificial intelligence capabilities. This will enable addressing data quality issues critical for system integration. The increasing complexity of enterprise IT land
Valerii Zadorozhnyi5 min read