Dayos Hero AI - Athena Release - Hero the AI-native successor Application Managed Services.

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The work has changed. The systems haven't. Enterprise support is still built around tickets, queues, escalations, and labor-based delivery. Yet today's organizations need instant answers, continuous optimization, and AI-powered execution. Hero, developed by Dayos, is the AI-native successor to enterprise systems engineering. Hero doesn't just answer questions—it performs work across your company's legacy enterprise platforms. Traditional AMS providers sell labor. Hero delivers intelligence.

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I spent 20 years building back-office engineering for finance, HR, payroll, and accounting at the best companies across the US and Silicon Valley. Same pattern every time. The work was hard, and senior teams did it well. Then cost pressure showed up, the work moved offshore to the cheapest available labor, and the ROI those systems were supposed to deliver quietly degraded. I started Dayos because I wanted to know what would happen if you replaced that labor model with intelligence rather than cheaper systems engineers. We started by building on top of ServiceNow. That was the obvious move at the time. Within a year, we retired it and replaced its features ourselves, because the assumptions baked into ticketing systems were the problem, not the solution. The Singapore government documented the work in a case study as part of its Model AI Governance Framework. Forty-five-day ServiceNow retirement. Sixty percent of Workday tickets auto-resolved. Over $120,000 saved in the first year for one tenant. Hero is what came out of that. It logs in to Oracle and Workday, performs the work, and validates the output. Configurations, report development, reconciliations, ticket resolution. Plain English in, validated code out. A ticket that once cost thousands of dollars is now completed in seconds. The work has changed. The system hadn't, until now. Would love to hear what you think, and especially what's broken in your current AMS setup that you wish someone would fix.