Practical AI Use Cases to Transform Cloud UC and Microsoft 365 Operations

As enterprise collaboration scales, manual IT support is buckling under the weight of complex hybrid environments. Discover how IT leaders are deploying an intelligent automation fabric for predictive monitoring, configuration drift detection, and AI-assisted provisioning to slash ticket volumes and protect service level agreements.

As enterprise collaboration environments grow increasingly complex, traditional static automation is buckling under the weight of relentless updates. For IT leaders, the strategic imperative is shifting toward an intelligent automation fabric capable of predictive monitoring, cross-domain reasoning, and agentic AI

The experience gap: CX fails when DX is broken

There’s a growing disconnect in enterprise transformation. Organizations are investing heavily in CX, but results aren’t keeping pace.

The reason? Customer experience breaks when the digital employee experience behind it is fragmented, invisible, or unmanaged.

In Pipeline Magazine this month, Tim Jalland explores the “experience gap” and why unified service management is becoming the foundation for both CX and DX success.

Read the full article.

With over 350 million active users, Microsoft Teams provides the communication and collaboration foundation for many enterprise customers. Because of its importance, disruptions to Teams cause measurable impacts to productivity and revenue.

EnableUC previously undertook research to identify the categories of issues that create service outages or service degradation for Microsoft Teams and then researched what impact effective proactive monitoring of the Teams environment could provide.

In this context, proactive monitoring refers to synthetic transactions and agents or appliances that simulate user activities to test and monitor the performance and availability of Microsoft Teams services. These transactions are pre-scripted actions that mimic real user interactions. Continuously running these synthetic transactions allows IT teams to detect issues before they impact actual users.

Based on our research, a detailed model was created that allowed for 29 variable inputs and calculated the business impact with and without proactive monitoring. This included estimating the productivity impact, revenue impact, additional engineer support costs, and overall ticket volumes in both scenarios.

Consistent with our previous research, we have developed a simplified visualization tool, called the “Trouble Ticket Tamer”, that helps explore and advance discussions related to the benefits of proactive monitoring.

You can try out the tool here.

As enterprises double down on automation, the digital workplace remains the hardest domain to tame. For CIOs grappling with UC sprawl, shifting APIs, and rising user expectations, a purpose-built automation fabric may be the bridge between ambition and execution

Here, UC Today interviews Bill Dellara on how VOSS is unifying UC, collaboration, and AI into a single operating framework.

 

In his  previous article, The $100 Billion Blind Spot, Kevin Kieller highlighted a pervasive issue facing modern enterprises: the staggering amount of capital potentially wasted on mismanaged and improperly assigned software licenses. He argued that most organizations are bleeding money simply because license management is too far removed from the actual needs of the user. If you thought that blind spot was costly before, the stakes are about to get significantly higher and potentially more complicated.

Read now.

As enterprise automation strategies mature, a new model is emerging: the automation fabric. Nowhere is it more urgently needed than in the digital workplace, where complexity, multi-vendor sprawl, and relentless change routinely derail transformation