In an era dominated by digital transformation and artificial intelligence, voice may seem an unlikely frontier for technological innovation.
Yet, for enterprises navigating hybrid work and increasingly AI-driven operations, high-quality voice integration has become a critical foundation for the next wave of digital productivity.
Dstny Call2Teams helps bridge traditional telephony infrastructure with Microsoft Teams, allowing organizations to leverage legacy PBX systems, enabling them for the cloud while simultaneously accessing Teams’ collaboration tools.
According to Lee Hamilton, Head of Product Marketing at Dstny, voice is not just another communication channel – it’s a “real key fundamental layer” for enterprise AI applications.
“The rise of AI has reignited the importance of voice,” Hamilton explains,
“Voice provides rich insights into sentiment and tonality, which can be leveraged by AI meeting assistants and contact center tools.”
“It’s incredibly important for organizations to have a solid foundational layer to build on.”
The AI Advantage in Speech
Voice analysis goes far beyond transcription. In customer service, AI can interpret speech patterns to gauge satisfaction, stress, or engagement, providing real-time feedback to agents or summarizing interactions for managerial review.
In hybrid meetings, AI assistants can track decisions, highlight action items, and flag follow-ups – effectively enhancing organizational memory and productivity.
“For me, voice is probably the most critical communication method. You get a lot of sentiment from voice. You’re able to understand, especially from a customer experience perspective… how they feel. And so a lot of that is gold for AI.”
Hybrid Work and Legacy Systems
Hybrid work is a key driver of adoption. Teams-first organizations increasingly demand seamless voice integration to ensure employees can communicate efficiently, whether at home or in the office.
Legacy PBX systems remain economically valuable and operationally central.
Call2Teams enables businesses to extend the life of these systems while introducing AI-ready voice functionality.
Hamilton highlights the efficiency of the system: “Once a service provider is onboarded with Dstny, from first customer set up to a user calling, it’s under ten minutes. It’s pretty much instantaneous.”
This speed, combined with enterprise-scale reliability, has made the solution appealing to businesses of all sizes.
The Strategic and Ethical Stakes
Voice carries rich behavioral signals – pace, inflection, hesitation, and tone – that can feed machine learning models.
These signals enable predictive insights, improved customer interactions, and enhanced employee productivity. Hamilton calls it “gold for AI,” underscoring its strategic value.
However, the integration of voice and AI also raises ethical considerations.
Capturing and analyzing speech requires careful handling of personally identifiable information and compliance with regulations like GDPR.
Enterprises must balance operational benefits with privacy concerns, ensuring AI enhances rather than undermines trust.
Despite these challenges, the convergence of voice and AI represents a major evolution in enterprise communication strategy. Companies embracing voice as a foundational layer gain more than efficiency – they acquire a rich dataset for driving insights and automation.
As Hamilton puts it: “A solid integration such as Call2Teams is paramount to the success of AI-driven communication for organizations.”
In a world increasingly dominated by text and data streams, the simple act of speaking may once again prove to be one of the most technologically valuable actions an employee – or customer – can take.
