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.
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Softengi
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46 publications
Cloud-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.
AI-Native System Architecture: Ensuring 'Keepalive' Quality and AI Risk Management
AI-native system architecture demands an integrated approach to quality and AI risk management. We examine frameworks, security platforms, and organizational factors.
Domain-specific models: when corporate AI needs its own language
Corporate systems require domain-specific language models for security, efficiency, and compliance with unique business processes.
Recursive AI self-improvement: preparing businesses for new challenges
The concept of recursive AI self-improvement is transforming process automation. We explore how companies can prepare their data and manage risks.
Platform engineering for hybrid Kubernetes: cost and security optimization
Platform engineering optimizes Kubernetes in hybrid infrastructures, ensuring cost predictability, enhanced security, and operational efficiency.
AI and RPA: How data and risks define automation success
Integrating AI into RPA is transforming business processes, but success hinges on data readiness and effective risk management. Prepare your data.
Platform engineering and IDP: optimizing cloud and security for banks
Platform Engineering and IDP are transforming development, optimizing cloud costs, and enhancing security amidst increasing infrastructure complexity.
Domain-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.
AI 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.
How AI is transforming API Gateways for enhanced security and microservices scaling
Is new system integration taking months? AI in API Gateways ensures microservices security and scalability, reducing time-to-market.
AI-driven Scriptum: The future of document and workflow automation by 2026
AI-driven Scriptum is set to transform document management and workflow automation by 2026, accelerating document processing and business process automation.