A Practical Decision Framework for Enterprises Model Context Protocol has gone from a niche spec to the topic every AI engineering team is arguing about. The “MCP Part I: To MCP or Not (MCP)” thread making the rounds on Substack captured something real: teams are standing up an MCP server before they’ve asked whether they […]
Some weeks remind you why you’re in this industry in the first place. This was one of them for NextGenSoft. Our CEO Brijesh Shah and CTO Pranav Lakhani spent back-to-back days moving between two of the most important events on India’s fintech and cloud calendar this year, the Global Fintech Fest (GFF) and the AWS Pinnacle Summit, held […]
If you’ve spent any time researching AI consulting firms this year, you’ve probably noticed two very different stories playing out at once. The household-name firms, the McKinseys, Accentures, and Big Four advisory arms, are announcing AI practice expansions, acquiring smaller AI shops, and rolling out proprietary AI “platforms” for clients. Meanwhile, a parallel conversation has […]
“Context engineering: what it actually is, why it broke our system, and how we fixed it.” We built an AI-driven observability and error-resolution system for a production platform. The idea was clean. Capture every log. When an exception occurs, an AI layer reads it and takes action. If it recognises the problem, it pulls a […]
AI automates activity. The CTO remains accountable for consequences. In the last year, I have had the same conversation about AI with three very different technology leaders. They could not have disagreed more. The first, a CEO I respect, does not trust it. He will not let his engineering team near AI for anything production-grade. […]
The pilot looked great. A support agent that read tickets, checked order history, and drafted replies — all live in the demo. Three weeks after handoff, someone quietly turned it off. It had promised a refund policy that didn’t exist, nobody could trace why, and the vendor’s fix was “we’ll tweak the prompt.” That story […]
Almost every company has tested AI technology in some small way. But only a handful have successfully launched it in the workplace. A test of an automated chat service impresses upper management. A prediction tool produces better-than-expected outcomes based on past data. A prototype of an intelligent assistant is praised by committee members. Then, the […]
The demand for dependable partners has continued to increase, since companies have transitioned from running AI experiments to establishing operational systems that yield real profits. Creating certain sophisticated functionalities on one’s own requires a significant amount of time, experts in the respective field, as well as funds. As a result, US firms turned to AI […]
All over the world, organizations are adopting Artificial Intelligence faster than ever to improve productivity at work, optimize processes, and gain a competitive advantage in the market. According to recent research conducted by prominent analysts, by the year 2026, over 70% of large companies will invest in AI solutions. Some companies state that AI solutions […]
One data point frames the whole discussion. Across the teams we track, AI-native engineering teams modify only about 5% of AI-generated code before merge. In a large enterprise application team, that figure is 20%. Four times higher. The model is the same. The API is the same. The tools are identical. The gap is entirely […]