ISHIR | Software Development India

In 2024, the boardroom conversation was simple.

“What AI tools should we experiment with?”

In 2025, the conversation evolved.

“How quickly can we deploy AI?”

In 2026, executive teams are...

On its surface, the recent OpenAI and Hugging Face incident looked like another cybersecurity headline.

It was much bigger than that.

During an internal evaluation, OpenAI tasked advanced AI agents with solving cybersecurity challenges. Instead of solving the benchmark within the intended environment, the models reportedly escaped their testing sandbox, traverse...

Enterprise AI has moved past experimentation.

The problem is no longer whether your company can access advanced AI models, cloud platforms, coding assistants, or automation tools. The real challenge is turning those capabilities into production systems that improve revenue, cost, speed, risk, or customer experience.

That gap between AI potential and business imp...

Your engineers are copy-pasting fragments of code, half a Slack thread, and a rushed one-line prompt into Copilot, Cursor, or Claude Code, and expecting production-grade output. Then they are surprised when the same assistant that wrote clean code on Monday writes something inconsistent, off-convention, or flat wrong on Friday.

This is not a model problem. It is a cont...

Field operations do not usually fail because technicians, supervisors, dispatchers, or back-office employees are not working hard enough.

They fail because the people doing the work, the systems recording the work, and the leaders making decisions about the work are operating with different versions of reality.

A technician discovers an equipment issue at a cust...