Essays, papers and the book.
- POV #2 — AI Is Already Saving Time: What 40–60 Minutes a Day Means on the Plant Floor
3 Jan 2026
When people hear that AI can save 40–60 minutes per employee per day, the reaction is often mixed. Some think, “That’s exaggerated.” Others worry, “Is this about cutting jobs?”… - POV #1 — Why the State of Enterprise AI in 2025 Matters for Oil & Gas Maintenance
3 Jan 2026
I’ve spent over two decades in oil and gas maintenance, turnarounds and Project management. And if there’s one thing I’ve learned, it’s this: maintenance isn’t just about… - The Cost of Unwanted Intelligence
Book, In progress · 2026
Why enterprises pay for AI they don't use, told through the Intelligence Ledger and the six hidden costs that eat AI returns. - Enterprise Agentic AI: A Harness-First, Role-Responsibility-Driven Architecture
Drishti.ai whitepaper, v1.1 (41 pages) · 2026
A reference architecture for running AI agents in the enterprise: deterministic scripts do the heavy lifting, models do the judgment, and every agent has a defined role, responsibility and supervisor. - Why AI Adoption Is Still Low in enterprises
4 Dec 2025
I still remember those long bus rides through northern Uttar Pradesh — the Babrala ( a village in northern India) to Agra route on UP Roadways. Dusty roads, blaring horns, chai… - Why “Replace the Professional” theory fails for AI adoption in industries
21 Nov 2025
Introduction: The Paradox of AI and Human Expertise A familiar story in every industrial plant: a massive machine suddenly stops. Operators check gauges, valves, and control… - Domain Subject Matter Expert-Driven AI/ML Implementation Framework
International Journal of Scientific Development and Research (IJSDR), Vol. 10, Issue 2 · Feb 2025
Argues that the people who know the work best should lead its automation, and sets out a framework for experts to design, build and supervise AI/ML solutions with IT as enabler rather than gatekeeper.
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Always happy to swap notes on AI in industry, maintenance and reliability.