The Trust Gap in Enterprise AI Search—And Why Nethopper Is Built for It

How do you make enterprise AI search that works in real life? Big studies from MIT’s NANDA initiative and KPMG show it’s not about flashy features—it’s about trust, accuracy, and how well AI fits into everyday workflows.

MIT’s 2025 report says 95% of enterprise AI pilots don’t deliver real business impact. That’s billions spent with little payoff. The main culprit? Companies struggle to slot AI into their daily work. Pilots get stuck, data gets siloed, and teams go back to old habits.

KPMG agrees: enterprise AI delivers value only when trust is built in—from secure data flows to clear governance and smart integration with people’s actual jobs.

Then there’s NewsGuard. Their recent audit found that 35% of generative AI chatbot answers about news and work topics were false or misleading—a huge red flag for any business depending on AI search for work decisions.

That’s where Nethopper comes in. It’s enterprise AI search designed for security, accuracy, and seamless integration. Nethopper pulls together all your company’s data, respects privacy, and delivers employee-specific answers that teams can actually trust—no misinformation, no guesswork.

Bottom line: In today’s workplace, the best AI search isn’t just smart—it’s secure, trusted, and woven into the flow of work. That’s how Nethopper bridges the gap—and helps enterprises finally get value from AI.

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