Technical Strategy
Technical architecture decisions for enterprise AI — custom LLMs vs cloud APIs, multi-model strategies, and integration patterns.
4 articles
LLMOps: The Production AI Stack — Evaluation, Observability, and Continuous Improvement
Most enterprise AI failures are not model failures — they are operations failures. Here is the LLMOps stack that turns prototypes into reliable production systems: evaluations, observability, feedback loops, and continuous improvement.
Fine-Tuning vs RAG: Choosing the Right AI Customization Strategy
The question we get most often from CIOs: should we fine-tune a model or build a RAG system? The answer depends on your data, your accuracy requirements, and your governance constraints. Here is the decision framework enterprise architects actually use.
AI Integration with SAP, Salesforce & Legacy Systems
The hardest part of enterprise AI is connecting it to existing systems. Here is the integration guide for SAP, Salesforce, and legacy platforms.
Custom LLMs vs Cloud APIs: 5 Decision Factors
Custom LLMs vs cloud APIs is not binary. Five decision factors help you invest in the right AI architecture for your requirements.
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