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Practitioner perspectives on building enterprise AI that actually ships — from the engineers, architects, and domain experts at Sakha Global.
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From Prototype to Production: Why Most Enterprise GenAI Projects Stall at PoC
After helping dozens of enterprises move AI initiatives from demo to deployment, we've identified the five failure modes that stop 80% of GenAI projects from ever reaching production — and the systematic approach to avoid each one.
Agentic AIAgentic Workflows in Enterprise BPM: A Practical Guide with n8n and LLMs
Agentic systems can now orchestrate multi-step enterprise processes autonomously. Here's how we're combining n8n orchestration with frontier LLMs to build workflows that actually run in regulated environments.
RAG SystemsBuilding Production-Grade RAG: Chunking Strategies, Reranking, and Evaluation
RAG architectures that work in demos often break under production load. We walk through the engineering decisions — chunking, hybrid search, reranking, and evaluation pipelines — that separate reliable systems from brittle demos.
Fintech AIReal-Time AI Risk Scoring: Replacing Batch Underwriting in Financial Services
Legacy batch-based risk assessment cycles create hours of decision lag. We explain how to replace them with streaming ML pipelines that score in milliseconds without compromising on model interpretability.
LLM EngineeringFine-Tuning vs. RAG vs. Prompting: Choosing the Right LLM Adaptation Strategy
Not every enterprise use case needs fine-tuning, and RAG isn't always the answer either. We break down the decision framework we use with clients to choose the right approach based on data freshness, latency, cost, and accuracy requirements.
Enterprise AIAI Governance for Regulated Industries: What Your Legal and Compliance Teams Need to Know
Deploying LLMs in healthcare, fintech, and insurance means navigating GDPR, HIPAA, and emerging AI-specific regulation. Here's the governance framework we build into every enterprise AI engagement.