Insights & Thinking

Practical thinking on enterprise AI

Written from production experience, not theory. Every piece is grounded in real deployments in regulated environments.

Industry AnalysisMarch 2026 · 12 min read

The Agentic AI Architecture Gap: Why It Works in Diagrams and Fails in Production

A critical analysis of why agentic AI frameworks look compelling on slide decks and fail in regulated production environments — and why nobody in the industry is talking about it honestly.

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AI Cost Optimisation7 min

How We Cut AI Infrastructure Cost by 93% in Production

Azure AI Foundry pricing at scale will surprise most organisations. Here is the exact architecture decision that changed everything.

AI Governance6 min

The 5 Questions Your Board Will Ask About AI — and How to Answer Them

Your legal team isn't blocking AI because they don't understand it. They're blocking it because your technical team can't answer five specific questions.

AI Governance5 min

Shadow AI in Regulated Organisations: The Risk You're Not Measuring

Employees at regulated firms are using consumer AI tools with production data. Most compliance teams know. Almost none have quantified the exposure.

AI Architecture8 min

Principal-Led, Agent-Augmented: Why the Boutique Advisory Model Is Changing

The answer to 'you're just one person' is no longer what it used to be. Here is what AI-augmented delivery actually means in a regulated advisory context.

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Dr. Sam Arora publishes regularly on AI governance, production LLM architecture, and cost optimisation for regulated industries.

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