Custom development or off-the-shelf: when to build or buy
Finding the balance between rapid off-the-shelf software deployment and custom development freedom, evaluating TCO, and avoiding technical debt traps.
INSIGHTS & PRACTICE
AI and digital implementation
Practical guides to business-process automation: from the first assessment to measurable results.
57 publications
Architectural defense against AI Prompt Injection and leaks
How to protect corporate LLM systems from Prompt Injection and data leaks at the architectural level in 2025, following NIST AI RMF and OWASP standards.
Geopatriation and Sovereign Cloud: When to Move Workloads Closer to Jurisdiction
Geopatriation and sovereign cloud are emerging as responses to regulatory requirements and cyber risks. This article explains when relocating workloads is justified.
Confidential Computing in the Cloud: Where TEE Justifies Complexity
Confidential computing, leveraging TEEs, justifies its complexity for banks by protecting data in the cloud during processing from cyber threats and regulatory risks.
Enterprise developer: from code to AI system management
AI-native development is transforming the role of the enterprise developer in 2026-2027, shifting focus from writing code to managing AI systems, security, and domain-specific models.
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.
AI voicebots in telecom: balancing efficiency and customer trust
AI voicebots in telecom contact centers enhance efficiency but require a balance between automation and customer trust.
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.
FinOps and multi-cloud strategies: Controlling IT budgets in 2026
Multi-cloud strategies without consistent FinOps transform cloud budgets into uncontrolled expenses where growth doesn't align with business value.
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.