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.
