- Business
- Learn how to embed AI into workflows to reduce friction and achieve tangible ROI, moving beyond experimentation.
This episode provides a practical, grounded discussion on enterprise AI adoption and future interface trends from a CTO.
The App of the Future Is Voice — Not a Screen. Mitel's CTO Luiz Domingos Explains Why.
Audio streams from Craig S. Smith. Your place is remembered on this device.
From Subvolts
Summary and analysis by Subvolts editorial, AI-assisted.
Eye on AI features Mitel CTO Luiz Domingos discussing the practical application of AI in enterprise communications. Domingos argues that voice interfaces will replace screens within five years. He emphasizes embedding AI into existing workflows to reduce friction and address latency and data sovereignty issues, moving beyond experimentation to tangible ROI.
This episode explains how companies are putting AI to work in everyday business tools, like call centers. The main idea is that talking to AI will soon be more common than using apps on a screen, making technology easier to use.
This episode offers a grounded perspective on enterprise AI adoption, moving past hype to focus on workflow integration and ROI. It's for CIOs, CTOs, and business leaders seeking actionable strategies for AI deployment. Domingos's insights on voice interfaces and overcoming legacy system limitations connect to frontier labs' ongoing efforts to make AI more accessible and integrated into daily business operations, particularly in regulated industries.
- HostCraig S. Smith
- GuestLuiz DomingosCTO, Mitel
- Guest: Luiz Domingos, CTO of Mitel
- Show: Eye on AI
- Length: 55 minutes
- Voice Interface Prediction: Within five years, voice will replace the traditional app interface as the primary way people interact with enterprise AI systems.
- AI Implementation Framework: Start with workflow friction, not pilots, for real ROI.
Luiz Domingos has spent 25 years watching enterprise communications evolve, from IP telephony to cloud to AI, and his assessment of where things stand now is unusually concrete. Companies have moved past the strategy deck phase. AI is being embedded directly into contact centers, compliance workflows, and communication pipelines, and the question executives are asking has shifted from "which model is smartest" to "which deployment reduces friction and stays compliant." Domingos is direct about what gets in the way: you cannot pour AI into a legacy architecture and expect transformation, and cloud-only AI doesn't solve the latency or data sovereignty problems that regulated industries face every day.
In this conversation with Craig Smith, Domingos covers the practical mechanics of how Mitel is applying AI across its portfolio, from real-time transcription and sentiment analytics in contact centers, to agentic workflows that turn conversations into automated tickets and follow-ups. He draws a clear line between AI agents (which give recommendations) and agentic AI (which takes actions), a distinction the market consistently confuses. He also makes a prediction worth noting: within five years, voice will replace the traditional app interface as the primary way people interact with enterprise AI systems. For any CIO or CTO trying to move from experimentation to real ROI, his framework - start with workflow friction, not pilots - is the most actionable takeaway in the episode.
- agentic AI
- Luiz Domingos
- AI that takes action
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Questions people ask
- What is the main prediction about future AI interfaces?
- Within five years, voice will replace the traditional app interface as the primary way people interact with enterprise AI systems.
- How should companies approach AI implementation?
- Companies should start with workflow friction, not pilots, to move from experimentation to real ROI.
Page generated Oct 19, 2026. Summaries are Subvolts' own; the audio, artwork and notes belong to Craig S. Smith.

