Grassroots Entrepreneurs and the AI Agent Opportunity
A major shift is underway in how companies form, scale, and create value. Artificial intelligence has moved from experimentation into execution. The biggest opportunity no
Agentic AI for QA Testing Workflows
Quality assurance teams across modern software development face a new reality. AI enabled applications do not behave like traditional systems. Outputs shift based on context.
Why Your Dev Team Isn’t Broken, Just Misaligned
You’ve got smart engineers and developers. A fast-moving product team. Plenty of Jira tickets.So why does it still feel like you’re building in the dark?If
Davos 2026 AI Insights for C-Suite Leaders
The 56th annual meeting of the World Economic Forum in Davos, Switzerland drew global leaders from business, technology, research, and policy from January 19 to
Shift Left QA for AI Systems. Catching Model Risk Before Production
Artificial intelligence (AI) systems rarely fail in obvious ways. No red error screen. No crashed service. No broken button. They fail quietly. Outputs look confident
Why Startup Founders Fail + How a ISHIR’s Venture Studio Helps Win
Every startup ecosystem has two founder types investors will not back. Both show up all the time. Both believe they will win. Neither will. They
How Agentic Workflows Automate Software Development
Ralph Wiggum is a character from The Simpsons. He’s known for odd remarks and goofy behavior. His name has recently become shorthand for a new
Measuring AI Impact in Software Development: A Framework for Leaders
Artificial intelligence is now part of modern software development. The tools available to engineers today are enabling new levels of productivity, automation, and collaboration. Leaders
What Leaders Need to Know
AI tools deliver uneven outcomes for one simple reason. Most people talk to them without clarity. Prompt quality shapes output quality. Teams waste time refining
Human-in-the-Loop vs Autonomous AI in Enterprise Software
Enterprise software teams are standing at a crossroads. On one side is human-in-the-loop development, where AI accelerates delivery but humans stay firmly in control. On
