RICE Prioritization for Regulated Industries

The Agentic AI Stack: Architecture Patterns for Production Systems

Agentic AI in production is a systems engineering problem more than an AI problem. Here is the architecture that actually works — orchestration patterns, memory design, guardrails, and the observability layer you cannot skip.

Stakeholder Mapping Canvas for Enterprise AI Products

How to Evaluate an AI Vendor: A Scorecard That Works Across Industries

I have sat through hundreds of AI vendor demos. The pattern is always the same: a polished deck, a live demo on curated data, impressive

My AI Stack in 2026: Every Tool I Use and Why

Here is every AI tool in my stack as of March 2026 — what I actually use versus what I pay for, the real monthly costs, and the honest take on what is worth it.

RAG vs Fine-Tuning vs Agents: A 2026 Decision Framework (Not Just for Healthcare)

One of the most common questions I get from product managers entering AI for the first time is some version of: "We want to

LangChain vs LlamaIndex vs Haystack: The 2026 RAG Stack Comparison

Every production RAG system I have built or reviewed in the last two years has forced the same decision: LangChain, LlamaIndex, or Haystack? The answer

LLM Evaluation Framework: Beyond Benchmarks

Public benchmarks are misleading. Here's how to evaluate LLMs for your actual production use case — custom eval sets, automated scoring, and the cost-quality-latency tradeoff framework.

OpenAI vs Anthropic vs Google: Enterprise AI Platform Comparison 2026

I spend a meaningful portion of my week evaluating AI platforms for enterprise deployment at HCLTech. We have shipped GenAI products for healthcare, life sciences,

The Rise of AI in Retail: From Recommendations to Autonomous Pricing

Retail is where AI moved from theory to commercial practice faster than almost any other industry — because the feedback loops are fast, the data is rich, and the margin compression is brutal enough that even small efficiency gains matter. Here's the state of the art.

PRD Template for AI Products in Regulated Industries

AI in HR: From Resume Screening to Predictive Attrition

AI in HR promises efficiency and objectivity. The reality is more nuanced — the bias risks are real and the ethical obligations are high. Here is the honest picture of where AI in HR works and where it fails.

How AI Is Transforming Clinical Trial Patient Recruitment: A Product Manager's Perspective

80% of clinical trials fail to meet enrollment timelines. Each day of delay costs sponsors $600K-$8M in lost revenue. I've built products

AI in Education: How Personalized Learning Is Finally Becoming Real

Education has promised personalization for decades. Adaptive learning, individualized instruction, meeting every student where they are — the vision has been clear, the execution elusive. AI is finally changing that. Here's what's actually working.

FDA's New AI Guidance Decoded: What Builders Need to Know

When the FDA published its expanded Clinical Decision Support guidance in January 2026 alongside the updated wearables framework, my inbox filled up with the same