Practical AI guides written by engineers who build production systems — not analysts writing thought-pieces. No fluff. Just what works.
AI agents that reason, plan, and act autonomously are no longer research projects — they're in production at Indian companies right now. This guide covers architectures, failure modes, and the exact implementation path we use for enterprise deployments.
We analysed 6 months of production data across 3 deployments. Here's what actually drives cost reduction — and what doesn't.
India has 535M WhatsApp users. This guide covers catalog integration, order automation, return handling, and COD verification with AI.
McKinsey 2026 data says 85% of enterprise AI projects fail to reach production. We explain the real reasons — and a 5-step framework to beat the odds.
Both approaches can give you a domain-specific AI model — but they have very different cost profiles, maintenance burdens, and failure modes. This is the decision framework we use with every client.
Digital twin adoption in Indian manufacturing is accelerating. We break down real ROI numbers, implementation cost, and which manufacturing sub-sectors benefit most.
From single-agent pipelines to multi-agent orchestration: the exact architecture decisions, tool-calling patterns, and guardrails needed for enterprise-grade autonomous systems.