Perspectives on Agentic AI, RAG architecture, responsible governance, and real production challenges.
LangGraph changed how I architect agentic systems. Its graph-based state machine model maps cleanly to enterprise workflows where every decision point, error path, and approval gate needs to be explicit.
Graph-based state machines aren't just a programming model — they're a communication tool between AI engineers, domain experts, and compliance teams.
Read Full Article →Latest Insight • April 7, 2026
Chunking is the most underestimated decision in RAG architecture. After testing every strategy across legal, technical, and clinical data, here's what works.
April 6, 2026Five orchestration patterns that cover 90% of enterprise use cases. Each solves a different coordination challenge in multi-agent systems.
April 5, 2026Demand sensing looks at what's happening now — POS transactions, social media spikes, weather events — and adjusts predictions in real time.
April 4, 2026RAG systems degrade silently. Without systematic evaluation, you won't know quality has dropped until complaints pile up. Here's the framework.
April 3, 2026Thousands of orders, hundreds of workers, dozens of robots, millions of inventory positions. Multi-agent AI systems coordinate it all.
April 2, 2026Both can build multi-agent systems, but they optimize for different things. Choosing wrong means refactoring when you should be shipping.
April 1, 2026Classical routing assumes you know travel times. Reality is stochastic. ML models that learn from real-world data outperform the textbook approach.
March 31, 2026Your vector database choice determines the operational ceiling of your RAG system. After deploying all three, here's how I make the decision.
March 30, 2026Traditional monitoring tells you if your system is up. Agent observability tells you if your system is making good decisions.
March 29, 2026Standing up a global AI CoE is 20% technology and 80% organizational design. The four pillars, team structures, and governance that actually work.
March 28, 2026Most RAG demos fall apart at scale. What I learned building production pipelines with hybrid search, re-ranking, and guardrails in regulated pharma.
March 28, 2026AI security isn't optional. A practical walkthrough of OWASP's LLM framework with defense-in-depth architecture that doesn't slow innovation.
March 20, 2026ML demand forecasting, IoT warehouse monitoring, and agentic AI transforming logistics from reactive to predictive across 50M+ SKU-locations.
March 12, 2026Hyperledger's immutability combined with AI's pattern recognition creates a powerful defense against fraud in a major payment gateway.
March 5, 2026After 12+ POCs and building evaluation frameworks across industries, my practical guide to model selection for enterprise deployments.
February 25, 2026Most enterprises end up multi-cloud by accident. Here's how to make it intentional — leveraging each provider's AI strengths.
February 15, 2026Pharmaceutical companies need AI to stay competitive, but regulatory requirements around data integrity and validation make deployment far more complex.
February 5, 2026Rule-based fraud detection can't keep up. ML pipelines combining behavioral analytics, graph networks, and NLP are transforming financial security.
January 28, 2026Individual prompt tricks don't scale. Enterprise prompt engineering requires versioned libraries, automated evaluation, and governance workflows.
January 15, 2026Semiconductor companies are deploying AI across the value chain — from accelerating chip design in R&D to autonomous quality control on the fab floor.
January 5, 2026The real transformation is multi-agent orchestration. After deploying Agentic AI that reduced compliance cycles by 40%, autonomous agents change the game.
The OG ArticleRegular keynote speaker covering Agentic AI architecture and responsible AI governance. Available for engagements.
White papers on tech transformation. LinkedIn articles on Agentic AI, responsible AI governance, and enterprise AI strategy.
Open to speaking, co-authoring, and advisory conversations about enterprise AI.
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