DENVER, CO – January 5, 2026 — T2M Works today announced its 2026 Modern Work Webinar Series, a comprehensive educational program launching in Q1 2026 to help organizations understand the technologies, architectures, and automations that define the next era of business operations.
The series is built around instructional, non-sales content and is designed for IT leaders, business executives, VARs, and MSP partners seeking a clear roadmap for transforming their environments using Microsoft 365, Azure AI Studio, Teams Voice, and agentic automation. Each webinar provides practical insights, real-world demonstrations, and actionable steps organizations can implement immediately.
According to Gartner, 70% of operational improvement initiatives in 2026 will be powered by platform-native automation, and IDC reports that businesses standardizing on Microsoft 365 experience 40–60% faster AI adoption and up to 50% lower operational overhead. T2M Works has structured the webinar series to help organizations realize these gains by focusing on the core technologies and processes that enable Modern Work: identity-first security, cloud-native device management, Microsoft Teams as the operational cockpit, and the emerging domain of agentic AI systems integrated into business workflows. Participants will see firsthand how intelligent agents, standardized infrastructure, and unified data models unlock the next generation of productivity and customer experience.
The 2026 Webinar Series also introduces attendees to T2M Works’ Modern MSP model, where agents like Candace (voice automation), Carl (data interrogator), Turing (data analyzer), and Halas (meta-agent for agent optimization) work together across the Microsoft cloud to automate processes, reduce support workload, and drive measurable business outcomes. Each session defines the foundational technologies, connects them to real business value, and delivers concrete operational best practices that help organizations and VARs fully realize their investment and build secure, standardized, automation-ready environments ready for agentic computing.
