Insights from the AI frontier
Research, product updates, and practical guides from the Sodiac team — written for the engineers and leaders building AI-powered enterprises.
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How to Automate Invoice Processing with AI: A Practical Guide
A step-by-step guide to automating invoice processing with AI — from data capture to approval — including where a human still needs to sign off, and when it is not worth automating.
What Is Responsible AI? A Practical Definition for Software Teams
Responsible AI, defined in engineering terms rather than ethics-committee abstractions — the core principles, how it differs from AI ethics, and what it looks like in real software delivery.
How Much Does It Cost to Build an MVP in 2026? (India)
An honest breakdown of what an MVP actually costs to build in 2026 — the ranges, what drives the number up or down, and where AI-accelerated delivery genuinely lowers it.
AI Automation for E-commerce: What to Automate First
A practical prioritisation guide for e-commerce teams — which operations to automate with AI first for the fastest payback, and which to leave alone for now.
When NOT to Use AI in Your Product
The honest counter-take: the situations where adding AI to your product is the wrong call — and the simpler solution that beats it.
AI-Accelerated vs Traditional Development: Cost & Speed
An honest look at how responsible-AI-accelerated development compares to traditional builds on cost, speed, and quality — and where it does not help.
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