At Cisco’s recent AI Summit, technology investor Marc Andreessen offered an interesting perspective on what this shift means for the broader technology economy. He argued that AI could become the next major engine of productivity growth, potentially reversing the slower economic progress seen since the 1970s. At the same time, he describes open-source AI as an “asteroid strike” for proprietary models – dramatically reducing margins for those building the models themselves while accelerating innovation across the rest of the industry.

As Andreessen puts it, we may be entering a moment where software becomes significantly cheaper to build, which ultimately means we will see more software, more tools, and more SaaS platforms.

For enterprises, this shift has an important implication: as AI capabilities become widely accessible, the technology itself begins to commoditize. When everyone can access similar models and tools, competitive advantage moves elsewhere. Increasingly, it shifts to unique data and the ability to act effectively.

Nowhere is this more relevant than in the modern digital workplace. Organizations today rely heavily on collaboration platforms such as Microsoft Teams, alongside a wide range of communication and productivity tools that support everyday operations. These platforms generate vast amounts of operational data every day.

This data includes detailed call quality metrics, device performance information, provisioning activity, policy and configuration changes, service health signals, and patterns in how users interact with the platform. Individually, these signals may seem routine, but collectively they form a highly specific dataset describing how an organization’s collaboration environment actually operates.

The challenge is that much of this intelligence remains fragmented across multiple tools and administrative portals. IT teams often have visibility into individual components of the collaboration stack, but rarely a unified view of how the system behaves as a whole.

The result is a familiar operational pattern. Issues are often discovered only after users report them; troubleshooting can take longer than necessary; and valuable insights about service performance remain hidden across disconnected systems.

If AI is becoming widely available, the real opportunity lies in what organizations feed into it. Generic AI models can provide powerful capabilities, but they are most effective when paired with proprietary operational data – the signals generated inside an organization’s own systems and workflows.

Within large collaboration environments, this operational data reveals valuable patterns. It highlights the root causes behind recurring support tickets, uncovers early indicators of call quality degradation, identifies configuration inconsistencies across users or locations, and reveals trends in how collaboration services are being consumed across the business.

However, collecting data alone does not create value. The real advantage comes when organizations can correlate signals, extract meaningful insights, and act on them quickly.

In response, sovereign cloud initiatives with European-based (local) digital workplace platforms for collaboration and CCaaS are gaining renewed attention. Data residency, local ownership structures, and regionally operated AI models are becoming formal evaluation criteria rather than afterthoughts. But geography alone does not create sovereignty, and that’s where many digital strategies risk falling short.

Hosting data in Europe is important for regulatory compliance and legal certainty. For some industries, it is essential. However, storing data locally does not automatically make AI systems explainable, nor does it ensure that access is tightly governed, or that policies are consistently enforced.

A sovereign data center can still run an unstructured environment. Configuration drift can still occur. Licensing can still sprawl. AI features can still be enabled without proper oversight. Operational inconsistency does not disappear simply because workloads sit within European borders.

Shifting geography without strengthening governance may reduce jurisdictional exposure, but it does not eliminate operational risk. True digital sovereignty is not just about where systems run, it is about who controls how they run.

Ironically, the move toward sovereignty can increase operational complexity.

As organizations adopt regional CCaaS providers, country-specific collaboration stacks, separate AI environments, and localized policy models, they often create additional administrative boundaries. Each decision may be rational in isolation, but together they can produce variation in standards, duplication of effort, and reduced visibility across the estate.

Multiple tenants, independent security models, and divergent licensing structures make consistency harder to maintain. What begins as a strategy to reduce external dependency can unintentionally introduce internal fragmentation.

Sovereignty at the infrastructure layer can therefore weaken control at the operational layer – unless governance is “designed in” from the start.

In this example, enabling Microsoft Security Copilot, even if you are licensed with E5, on a relatively small Microsoft tenant, resulted in thousands of dollars of unexpected charges in under a month – while producing little actionable output.

At VOSS, this aligns with what we see across AI adoption in enterprise collaboration and security environments. AI promises productivity, insights, and automation – but value is never automatic. Without the right telemetry, workflows, and governance, enterprises risk paying consumption-based charges for capacity and capability that isn’t delivering meaningful business impact or value.

From this experience, three critical lessons emerge:

AI compute resources like Security Compute Units (SCUs) are billed continuously. Without careful provisioning and monitoring, costs can escalate rapidly, even in small deployments.

Technical readiness isn’t just licensing; it includes active telemetry, mature security tools, and processes that allow AI outputs to be actionable.

Workflows and use cases need to be defined before enablement. AI is a productivity multiplier, not a magic solution. Its real value comes when it’s embedded into clear, operational workflows that teams can leverage.

For enterprises adopting AI in UC, security, or network operations, the lesson is clear: don’t enable AI because it’s available – enable it when your environment, processes, and governance are ready to support it.

At VOSS, we help our customers navigate this balance, ensuring AI and automation deliver measurable outcomes, improve efficiency, and protect against unintended costs. By approaching AI adoption with readiness and governance at the forefront, enterprises can transform AI from a costly experiment into a powerful business asset.

Please get in touch to discuss your requirements or concerns in more detail.

Across our partner ecosystem, we are seeing a renewed strategic focus on voice – not as a legacy channel, but as an intelligent interface. Industry analysts and technology leaders are increasingly pointing to AI-powered voice as becoming a way to improve how companies engage with customers. With AI becoming mainstream in businesses, voice calls aren’t just conversations anymore – they can be analyzed, tracked, and even automated.

Major platform vendors are starting to embed real-time conversational AI into CRM, CX, and collaboration environments. AI can now transcribe, interpret, summarize, route, analyze sentiment, trigger workflows, and even resolve queries autonomously – all within the context of a live voice interaction.

The contact center is the first environment where this transformation is scaling reliably. It is where:

• AI handles routine queries
• Agents are augmented with real-time prompts and summaries
• Conversations feed analytics engines
• Voice data triggers downstream workflows in CRM and marketing systems

Customer engagement strategies are increasingly voice-led again – not because digital failed, but because AI has made voice measurable, automatable, and deeply data-rich.

But there is a critical dependency that often gets overlooked. None of this works without high-quality voice.

If voice is becoming the backbone of AI-driven engagement, then voice quality becomes a strategic asset. Poor call quality does not just frustrate customers and agents. It corrupts the data layer that AI depends on:

• Transcriptions degrade with jitter and packet loss
• Sentiment models misinterpret distorted audio
• Automation triggers misfire
• Compliance monitoring becomes unreliable

As organizations push toward AI-powered CX, they must ensure the underlying voice infrastructure – from SBCs to collaboration platforms to agent endpoints – delivers consistent, high-quality performance. This is where operational discipline meets AI ambition.

Making data understandable and actionable

Reducing friction and accelerating routine work

Seeing what’s coming before it impacts users

Staying ahead of issues, not reacting after the fact

Moving from simple guidance toward autonomous action

One of the advantages of our platform-first strategy is that we build these capabilities into the core, so that every product benefits. This accelerates innovation and ensures customers can take advantage of new capabilities without waiting for siloed product updates.

We laid the groundwork for this vision in VOSS 24.1 with the introduction of Wingman, our AI assistant for administrators. Through 2025, we significantly expanded what Wingman can do, culminating in the latest advancements delivered in VOSS 25.3.

Our work doesn't stop here. Through 2026, we'll continue strengthening the AI capabilities within the VOSS platform, with a focus on deeper automation, richer insights, and new ways to simplify operations for enterprises and service providers alike. Because the innovation sits at the heart of our platform, every enhancement has a multiplier effect across the entire product suite. 

We always welcome feedback and ideas as we shape our roadmap. If you'd like to explore the new capabilities or discuss what's coming next, please get in touch. 

Automation as the foundation of the modern digital workplace

A major theme at Ignite was the shift to an automation-first mindset. Enterprises are moving beyond isolated workflows and manual provisioning toward what we often describe as an automation fabric: A shared automation layer that spans applications, systems, and teams.

This is exactly where VOSS fits.

We bring automation fabric principles directly into UC and collaboration, security and identity, license management, contact center, meeting rooms, messaging, and AI-assisted operations—without requiring organizations to build an automation estate from scratch.

VOSS as a turnkey automation fabric

Modern enterprises – and the frontier firms leading the way – are looking to operationalize AI agents, automate insights from large datasets, and quantify ROI from automation. Achieving this requires a platform that unifies automation under one strategy.

VOSS provides that unified layer.

We deliver lifecycle automation, consistent policy enforcement, delegated admin aligned to business structures, and cross-platform orchestration across Microsoft workloads and beyond. Our AI-driven insights prioritize actions and cut operational noise, while end-to-end monitoring covers voice, SBCs, meetings, and service quality. Deep business analytics illuminate licensing, capacity, usage, and cost decisions. Most importantly, VOSS helps you do these things in a structure and hierarchy that is defined by you. The hierarchy and permissions in the VOSS platform are dictated by the Customer. After all, who would know better than you?

This combination accelerates the adoption of Microsoft’s cloud-first model and extends it into areas where native tooling cannot provide the depth or cross-platform visibility required.

I’m proud to say that VOSS is the leading vendor that brings automation, monitoring, analytics, and AI together into a single platform, delivering a comprehensive automation layer purpose-built for modern enterprises and frontier firms alike.

Data, intelligence, and the new decision-making landscape

Ignite reinforced the growing importance of fabric, connected data, and analytics-driven governance. Customers want meaningful visibility—not raw metrics. They want to pinpoint productivity loss, reduce costs, and evolve their digital workplace for an AI-centered future.

With VOSS analytics, organizations gain insight into:

• Usage and adoption patterns
• Meeting and calling quality
• SBC behavior, anomalies, and capacity
• License consumption and cost optimization
• Resource rationalization opportunities
• How operational performance impacts business outcomes

These insights help organizations rationalize services, optimize licensing strategies, and unlock ROI in their automation and AI investments.

The future: Intelligent, automated, and insight-led

Our week at Ignite confirmed that the industry is entering a new phase – one where AI, automation, and operational intelligence are no longer optional, but foundational.

For enterprises building their automation fabric, VOSS offers a ready-made platform that integrates seamlessly into the wider Microsoft ecosystem. For service providers, we deliver the automation infrastructure needed to scale efficiently and profitably. And for organizations exploring AI agents and next-generation digital workplace models, VOSS provides the operational backbone required to support them.

Ignite set the stage. VOSS is ready to accelerate what comes next.

Hybrid work, multi-vendor collaboration ecosystems, and the rapid rise of generative AI are impacting the rapid evolution of the digital workplace, and expectations have been reshaped almost overnight. In this environment, agility is no longer an aspirational goal – it’s a baseline requirement for operational success.

For years, organizations were dependent on strict standardization to manage complexity. By making processes uniform, they could introduce automation more easily. But today’s environment is too fluid for rigid frameworks. Work patterns shift constantly, tools update at a rapid pace, and AI introduces new capabilities – and pressures – that demand far more flexibility. Standardization alone can’t keep up with this new level of dynamism. The digital workplace must now be hyper-agile, able to adapt quickly without sacrificing control or consistency.

This need for agility is amplified by the realities of modern work. Employees expect seamless collaboration whether they’re in the office, at home, or on the move. Business leaders expect rapid transformation and continuous improvement. At the same time, the underlying environment has grown significantly more complex. Companies now operate across myriad vendors and technologies, each with their own policies, capabilities, and update cycles. Add the demand for remote work, hot-desking, flexible employment models, and fixed–mobile convergence, and IT teams are under unprecedented pressure. Homegrown scripts and basic automation tools simply can’t support this level of change. What is required is automation that is flexible, intelligent, and resilient enough to evolve without constant re-coding.

Across industries, organizations are racing to improve their digital maturity – not only to reduce inefficiencies, but to support better employee experiences and unlock new opportunities. The emergence of AI has accelerated this ambition. Digital dexterity is now a core competitive advantage, enabling companies to integrate AI capabilities, modernize collaboration tools, and respond to change with confidence rather than caution.

This is where VOSS plays a pivotal role. Our automation and performance management framework is purpose-built for the demands of today’s digital workplace. Whether your company is integrating AI features into your collaboration platforms, managing increasingly diverse technology stacks, or striving to enhance your overall employee experience, VOSS provides the adaptable foundation needed to succeed. Our technology helps you move away from rigid, reactive environments and toward intelligent, adaptive systems that can evolve at the pace of your business.

Creating an AI-ready workplace isn’t just about adopting new tools – it is about establishing the agility to support continuous innovation. When automation is flexible, intelligent, and deeply integrated, your company can pivot quickly, maintain consistent governance, support emerging technologies, and unlock the full potential of your digital workplace. With VOSS, you gain the agility and operational strength required to thrive in this new era of work.

Would you like to learn more? Please get in touch.  

Managing Microsoft 365 licenses has become one of the most persistent and underestimated challenges facing IT and procurement teams today. What once seemed like a straightforward administrative task has evolved into a complex, high-impact discipline that directly influences digital transformation outcomes. And the bottom line.

As Microsoft continues to expand its cloud portfolio, introduce new add-ons, and shift toward consumption-based billing, many organizations are struggling to keep pace. Overlapping entitlements, unused licenses, and inconsistent governance often mean that enterprises are often paying for capabilities they don’t use – or missing out on features they’ve already bought. The result? Slower adoption and limited visibility into real ROI.

To address this growing complexity, VOSS recently partnered with Kevin Kieller, renowned Microsoft analyst and co-founder of enableUC, to deliver a set of independent resources that help organizations navigate the Microsoft licensing landscape with clarity and confidence.

Complementing the paper is a two-part LinkedIn Live series, where Kevin Kieller and Christopher Martini explore the latest changes in Microsoft licensing and share real-world strategies for staying ahead.

Smarter licensing isn’t just about reducing costs. It’s about unlocking value – ensuring every user has the right tools to be productive, every license aligns with business goals, and every decision is guided by data-driven insight.

With Kevin Kieller’s guidance and the right management tools in place, enterprises can move beyond simply managing Microsoft 365 and start mastering it. If you would like to discuss this in more detail, please get in touch.