Writing

Thought Leadership on
AI Governance & Strategy

No buzzwords. No fluff. Just practical insights from real-world AI implementation at enterprise scale.

Recent Articles

Published Insights

Writing that bridges the gap between AI theory and production reality. Based on years of building compliant systems at Fortune 50 scale.

AI Security Tools & Calculators

Interactive AI security tools - blast radius calculator, agent read/write/action matrix, prompt-injection scenario library, plus downloadable risk register, vendor due-diligence checklist, and incident evidence checklist.

subodhkc.com·July 2026
AI Securityread more →

Does the Texas AI Law Apply to My Business?

A plain-English TRAIGA guide for small and midsize businesses - interactive applicability checker, disclosure rules, penalties, healthcare AI, biometrics, final-law-vs-draft matrix, and a 10-step readiness plan.

subodhkc.com·July 2026
Texas AI Lawread more →

How to Build Internal AI Applications with Streamlit

A practical architecture guide for building internal AI applications with Streamlit, OpenAI, RAG, custom tools and MCP - plus security, framework comparisons and a delivery roadmap.

subodhkc.com·July 2026
Streamlitread more →

AI Voice Agent Architecture: How Kestrel Voice Works

Production architecture for AI voice agent platforms - telephony, custom Python orchestration, realtime AI, adaptive three-layer intent routing, RAG pipeline, tool execution with verification, four-level degradation, post-call intelligence, learning pipeline, outbound dialer, meeting bridge, AI copilot, sequential ring, SMS, video, WebRTC, security architecture, technology decisions, and limitations.

subodhkc.com·July 2026
AI Voice Agentsread more →

Kestrel Voice: A No-Code AI Receptionist Platform Built for Real Business Calls

Product positioning for Kestrel Voice as a hosted AI receptionist - no-code setup, custom Python orchestration, deterministic controls, managed knowledge, verified actions, operations dashboard, degradation, learning pipeline, multi-channel, security, three deployment paths, and HAIEC coordination.

subodhkc.com·July 2026
AI Receptionistread more →

Why AI Voice Agents Fail in Production - and How to Deploy One Safely

Ten failure modes, a production architecture, AI voice control ladder, security threat model, TCPA and TRAIGA compliance for voice, and a six-phase deployment plan.

subodhkc.com·July 2026
AI Voice Agentsread more →

How to Build a Secure Enterprise RAG System

A complete guide to building production enterprise RAG systems - embedding models, vector databases (PostgreSQL pgvector, MongoDB, Databricks), hybrid search, row-level security, RAG poisoning prevention, agentic RAG, and evaluation metrics.

subodhkc.com·July 2026
RAGread more →

From AI Pilots to Regulatory Readiness

The governance framework enterprise leaders are adopting to transition from AI experimentation to production-grade, compliant systems. Practical insights on navigating regulatory requirements while maintaining innovation velocity.

AI Governance Playbook (Medium)·August 2025
AI Governanceread article →

Why Enterprise AI Integration Strategies Fail

Analyzing the common architectural and organizational pitfalls that separate successful AI adoption from expensive experiments. What actually works when implementing AI at enterprise scale.

Bootcamp (Medium)·August 2025
Enterprise AIread article →

Nepal's Digital Power War

A detailed look into the digital governance crisis that changed everything in Nepal. Examining the intersection of technology, governance, and citizen power in the digital age.

Medium·September 2025
Digital Governanceread article →
Where I Publish

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AI Governance Playbook

Practical frameworks for AI compliance and governance

Design Bootcamp

Enterprise architecture and system design

Personal Blog

Technology, governance, and strategic thinking
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Upcoming Topics

Precision Drift Detector

Going beyond basic monitoring: How to detect subtle degradation patterns in production AI systems before they impact users.

LegacyShift Methodology

Systematic approach to modernizing legacy AI systems without introducing new compliance risks or operational disruption.

AI Governance at Scale

What changes when you need to govern not one AI system, but fifty. Lessons from enterprise implementation.
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