v2softech

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Insights on AI, cloud, and enterprise software.

Perspectives from the v2softech team on the technology, decisions, and industry trends that matter to the organisations we work with.

Engineering·May 6, 2026

How to Choose an AI Software Partner (Not Just a Vendor)

The AI software market is noisy and the stakes of a bad decision are high. Here are the questions worth asking before you sign anything.

By Kiran Kumar Maddali · 6 min readRead
AI·April 8, 2026

Voice AI Is Moving Faster Than Most Businesses Realise

Voice cloning and AI-generated speech have crossed a quality threshold that changes what is possible for enterprise teams. Here is what that actually means in practice.

By Kiran Kumar Maddali · 5 min readRead
Cloud·March 18, 2026

Cloud Migration Without the Overengineering Trap

Most cloud migrations fail not because of technology, but because teams build for a scale they will never reach. Here is a more grounded approach.

By Kiran Kumar Maddali · 5 min readRead
Finance·February 11, 2026

The Hidden Cost of Manual Document Processing in Financial Operations

Manual document handling is rarely visible on a balance sheet — but it is one of the most expensive things a financial organisation does. Here is what the numbers actually look like.

By Kiran Kumar Maddali · 5 min readRead
AI·January 14, 2026

Why 38 Years in Banking Changed How I Think About AI

A founder's perspective on what decades inside financial institutions taught me about what AI should — and shouldn't — be asked to do.

By Kiran Kumar Maddali · 6 min readRead
AI·December 9, 2025

The AI Pricing Trap: Why Today's Discounts Could Cost You Dearly Tomorrow

AI companies are subsidising access at a scale that is not sustainable. When the discounts end, the organisations that built on proprietary models will feel it sharply. At v2softech, we made a different choice.

By Kiran Kumar Maddali · 6 min readRead
AI·November 18, 2025

The Open Source AI Revolution and What It Actually Means for Enterprise

Open-source AI has closed the gap with proprietary models faster than almost anyone predicted. For enterprise teams, this changes the calculus on cost, control, and what is actually possible.

By Kiran Kumar Maddali · 7 min readRead