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Moltbook and the Shadow AI Problem: What Indian Enterprises Need to Know

A social network for AI agents just exposed critical vulnerabilities in multi-agent systems. Here's what it means for Indian enterprises - especially in regu...

AI Audits Are Security Theater

The emerging AI audit industry is largely checking boxes that don't matter. Here's what a real audit would look like - and why continuous monitoring beats po...

State of Enterprise AI in India 2025: Lessons for 2026

2025 was the year AI moved from pilots to production in Indian enterprises. Here's what worked, what didn't, and what we expect in 2026.

The Inference Cost Death Spiral

Nobody's doing the math on what happens when every enterprise app has AI embedded. The economics are brutal if you don't manage them proactively.

Your RAG Pipeline is a Hallucination Machine

Retrieval-Augmented Generation was supposed to ground AI responses. Instead, it created new ways to fail. Here are the seven deadly failure modes we've catal...

India's Bureaucracy is an AI Governance Advantage

While the West scrambles to build AI oversight from scratch, India already has the infrastructure. The layered regulatory framework everyone complains about ...

The Context Window is a Lie

What the foundation model companies won't tell you about those impressive token counts. That 128K, 1M, or 2M context window? It's a theoretical maximum, not ...

The Indian Fairness Challenge: Bias Detection Beyond Western Frameworks

Standard AI fairness tools check for race and gender bias. They miss caste, religion, region, and the intersections that matter in India. Here's a framework ...

Model Drift is Eating Your AI Investment: A Detection Framework

Your model worked great at launch. Six months later, performance has quietly degraded. Here's how to detect drift before it becomes a crisis.

Document AI for Indian Bureaucracy: Beyond OCR

Indian documents break Western document AI. Multi-script headers, rubber stamps, hand-written annotations, and decades of accumulated formats require purpose...

India's AI Sovereignty Question: It's Not Just About Data Location

Everyone talks about 'data staying in India.' But true AI sovereignty requires rethinking the entire stack - from model training to inference to governance.

Measuring AI Reliability: Beyond Accuracy to Production Metrics

Your model has 95% accuracy on the test set. Great. But accuracy doesn't tell you if it's reliable in production. Here's what to measure instead.

Code-Mixed Reality: Why Your AI Fails When Indians Actually Talk

Your chatbot handles Hindi. It handles English. But when a user says 'Mera balance check karo please', it falls apart. Welcome to the code-mixing problem.

The RAG Quality Problem: Why Retrieval is Only Half the Battle

Most RAG implementations focus obsessively on retrieval. But we've found that generation quality, grounding, and citation accuracy are where enterprise RAG s...

DPDP Act Implementation: A Technical Checklist for AI Systems

The Digital Personal Data Protection Act is now being enforced. Here's what your AI systems need to change - with specific technical requirements and impleme...

Why AI Agents Keep Failing in Production (And How to Fix It)

Everyone is building AI agents. Few are running them successfully in production. Here's what we've learned from deploying agentic systems across Indian enter...

The Death of Static Segmentation: How Agentic AI Reimagines Next Best Action

Your customer segments were created 18 months ago. Your NBA rules were written by someone who left. Meanwhile, your customers exist in a continuous, contextu...

Agentic AI for Loan Underwriting: Why Credit Scores Are Just the Beginning

Credit bureaus give you a number. Agentic AI gives you understanding. Here's how to build underwriting systems that see borrowers as economic actors in a con...

RBI's AI Governance Expectations: What Banks Actually Need to Implement

RBI has embedded AI governance expectations across multiple circulars covering IT governance, digital lending, and more. Here's what banks need to build - wi...

Bridging the AI Curriculum Gap: From AICTE Guidelines to Industry Readiness

AICTE has established solid AI curriculum guidelines. But institutions face a challenge in bridging the gap between academic foundations and production AI sk...

Building Sovereign AI for Government: Beyond 'Data Stays in India'

Government AI projects claim sovereignty through data localization. But true sovereignty requires control over models, inference, and the entire AI supply ch...

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