Explore Insights

Data & Artificial Intelligence (AI)

AI Agent Orchestration: How It Works and Why It Matters

By Rishi Khanna

AI agent orchestration is reshaping how businesses build intelligent systems. It moves beyond single chatbots or generative interfaces, coordinating multiple specialized AI agents... Read More

Software Testing

Agentic AI for Test Workflows. Why Our QA Team Built It and How Testing Changed as a Result

By Aradhana Goyal

Quality assurance teams across modern software development face a new reality. AI enabled applications do not behave like traditional systems. Outputs shift based... Read More

Product Development

Why Your Dev Team Isn’t Broken, Just Misaligned

By Rishi Khanna

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... Read More

Data & Artificial Intelligence (AI)

What C-Suite Leaders Should Know from Davos 2026 About AI Innovation and Emerging Technology

By Eric Soon

The 56th annual meeting of the World Economic Forum in Davos, Switzerland drew global leaders from business, technology, research, and policy from January... Read More

Software Testing

Shift Left QA for AI Systems. Catching Model Risk Before Production

By Aradhana Goyal

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... Read More

Texas Venture Studio

From Idea to $5M: How ISHIR Texas Venture Studio Helps Founders Turn Thought Into Scalable Value

By Rishi Khanna

Every year, thousands of founders start with a strong idea. Only a small percentage turn that idea into a real, revenue-generating business. Fewer... Read More

Texas Venture Studio

Why Most Startup Founders Fail and How ISHIR Texas Venture Studio Helps the Right Ones Win

By Rishi Khanna

Every startup ecosystem has two founder types investors will not back. Both show up all the time. Both believe they will win. Neither... Read More

Product Development

Ralph Wiggum and AI Coding Loops: From Springfield to Real-World Software Automation

By Rishi Khanna

Ralph Wiggum is a character from The Simpsons. He’s known for odd remarks and goofy behavior. His name has recently become shorthand for... Read More

Product Development

How AI Is Reshaping Software Development and How Tech Leaders Should Measure Its Impact

By Rishi Khanna

Artificial intelligence is now part of modern software development. The tools available to engineers today are enabling new levels of productivity, automation, and... Read More

Data & Artificial Intelligence (AI)

Prompt Frameworks for AI Results: A Practical Guide for Leaders and Product Teams

By Rishi Khanna

AI tools deliver uneven outcomes for one simple reason. Most people talk to them without clarity. Prompt quality shapes output quality. Teams waste... Read More

Data & Artificial Intelligence (AI)

Why Senior Software Engineers Will Matter More (In 2026) in an AI-First World

By Maneesh Parihar

In 2026, writing code is no longer the hard part. AI can generate features, refactor services, and accelerate delivery at scale. Speed is... Read More

Data & Artificial Intelligence (AI)

Human-in-the-Loop vs Autonomous Development for Enterprise Software

By Maneesh Parihar

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... Read More

Data & Artificial Intelligence (AI)

What the CEO and C-Suite Must Ask Before Building an AI Enabled Enterprise

By Rishi Khanna

Artificial intelligence is transforming business models and competitive advantage. Leadership teams agree AI matters, but far fewer know how to turn AI potential... Read More

Texas Venture Studio

How Venture Studios Use AI to Accelerate MVPs Without Creating Tech Debt

By Chetan Saxena

Speed is not the problem. Bad speed is. Founders are shipping MVPs faster than ever using AI, yet many of those products collapse the... Read More

Digital Innovation

How AI Helps Recover Both Technical Dept & Innovation Debt?

By Rishi Khanna

When developers spend large portions of their time on maintenance, the opportunity for new value quietly disappears. Features slow down. Innovation stalls. Teams... Read More

Project Rescue & Modernization

Is GenAI-Powered Modernization Safer Than Manual Legacy Refactoring?

By Umesh Chandra

Most modernization failures do not happen because leaders ignore risk. They happen because risk is misunderstood. Manual legacy refactoring feels controlled because it relies on... Read More

Product Development

From MVP to AI-Accelerated Product in Weeks Not Months

By Rishi Khanna

In the years before 2024, building an MVP was mostly about speed and efficiency with limited tools. Founders built prototypes manually, ran focus... Read More

Data & Artificial Intelligence (AI)

Why AI-Native Products Create Compounding Returns, Not One-Time Wins

By Maneesh Parihar

If your AI investment needs constant justification, it’s already in trouble. One-time productivity bumps don’t move margins. Demos don’t survive budget reviews. And “AI... Read More

Texas Venture Studio

How Venture Studios Eliminate the Early-Stage Execution Gap

By Eric Soon

Most startups don’t fail because the idea was wrong.They fail because execution never caught up. The pitch deck looked solid. The market made sense.... Read More

Digital Innovation

Why NetSuite Customer Center Portals Fall Short and How to Build Better User Experiences

By Rishi Khanna

Oracle NetSuite is one of the most widely used cloud ERP platforms in the world. It offers core features for finance, CRM, order... Read More