BOSTON, MA — August 15, 2025 — Leads & Copy — Amidst widespread claims of digital transformation strategies, a silent crisis is costing major companies billions due to device sprawl. eBlissAI addresses this with autonomous endpoint management, promising significant reductions in downtime and operational costs.
According to IoT Analytics, connected devices are projected to surge from 16.6 billion to 40 billion by 2030, creating endpoint management challenges. Global downtime already costs $400 billion annually, with each minute of downtime costing $9,000, according to Splunk. Shirish Nimgaonkar, Founder and CEO of eBlissAI, emphasizes the need for modern tools to manage endpoint complexity, stating that the inability to manage endpoints hinders AI scalability.
CIOs and CTOs are becoming increasingly central to enterprise strategies, with 63% now reporting directly to the CEO, according to The Wall Street Journal. However, this increased influence comes with pressure to deliver measurable ROI from AI initiatives.
While McKinsey reports that 78% of companies have adopted AI in some capacity, only 1% have scaled it enterprise-wide for tangible ROI. eBlissAI proposes autonomous endpoint management as a solution, using agentic AI to predict disruptions, automate issue resolution, and optimize performance. Early adopters have reported up to 90% reduction in system downtime, 95% improvement in threat detection, and a 70% decrease in operational costs, with ROI up to 45x higher than traditional solutions, according to IT News Online.
Nimgaonkar asserts that eBlissAI offers tangible business outcomes within a defined timeframe, positioning it as a co-pilot for CIOs in the age of AI.
Jack Smith
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Source: eBlissAI
