The primary enterprise concern regarding AI has shifted from performance and capabilities to governance, liability, auditability, and ROI.
Voice is poised to become the dominant user interface for future applications, rendering traditional graphical interfaces obsolete.
Enterprises cannot use generic generative AI effectively; they require Retrieval-Augmented Generation (RAG) to provide essential business context and knowledge.
Fully autonomous AI workflows are not viable for enterprises due to reputational and litigation risks, necessitating a 'human-in-the-loop' for final approval.
Frontline workers represent the most digitally underserved demographic and stand to benefit most from real-time, AI-powered tools.
2017-2018
Mitel began its initial investigations into AI by integrating natural language processing solutions like Dialogflow into its contact center products.
Late 2021 / Early 2022
Mitel acquired enterprise communication vendor Unify, significantly expanding its market presence and technology portfolio.
2022
Domingos identifies this year as the turning point when enterprise AI focus shifted from high-level strategy and proofs-of-concept to operational execution within business processes.
Mid-2024
Domingos observes that the dominant conversation among enterprise leaders at industry events has become AI governance, liability, and ROI, rather than model capabilities.
Near Future
Predicts that voice will supersede traditional graphical user interfaces as the primary way users interact with applications.
Within 5 Years
Forecasts that AI-powered features like real-time transcription, summarization, and intelligent call routing will become commoditized, standard features in enterprise communication platforms.
▶The Maturation of Enterprise AIJun 2026
Domingos argues that the enterprise AI conversation has evolved significantly since 2022. The focus has shifted from creating strategy decks and evaluating model performance to embedding operational AI into core business processes, with a primary emphasis on ROI, governance, liability, and auditability.
Investors should note that the competitive landscape for AI vendors is shifting from raw technical capability to the ability to deliver secure, compliant, and economically viable solutions, favoring companies that can navigate complex enterprise requirements.
▶Voice as the Next User InterfaceJun 2026
A core tenet of Domingos's vision is the ascendancy of voice as the primary user interface, eventually replacing traditional screens and graphical apps. He believes this shift is enabled by advancements in real-time, hybrid, and edge AI architectures that can handle the demands of voice applications.
This perspective suggests that companies in the communication and collaboration space, like Mitel, see a strategic opportunity to become the central nervous system for future enterprise software, moving beyond telephony to become the interaction layer for all business processes.
▶Pragmatic AI Implementation and ArchitectureJun 2026
Domingos emphasizes the practical necessities for deploying AI in a corporate setting. He asserts that generic generative AI is insufficient without Retrieval-Augmented Generation (RAG) for business context, that platforms must be model-agnostic to avoid vendor lock-in, and that autonomous workflows must retain human oversight to mitigate reputational and legal risks.
This focus on pragmatism indicates that the market for enterprise AI tools is likely to favor flexible, interoperable platforms over closed, single-provider ecosystems, creating opportunities for specialized vendors in areas like data security and model integration.
▶Mitel's Strategic Positioning and Go-to-MarketJun 2026
Domingos outlines Mitel's strategy to capitalize on these trends, highlighting its 70 million user installed base and a 6,000-partner global channel. The company is developing vertical-specific AI solutions, offering a sovereign cloud for data-sensitive regions, and has created tools like 'Workflow Studio' to automate communication-centric processes with agentic AI.
Mitel's strategy appears to be a blend of defending its large existing user base while building new AI-driven revenue streams, with its extensive channel network serving as a key differentiator for scaling deployment and services.