The acceleration of artificial intelligence investment continues to reshape how organizations operate, collaborate, and scale. According to a report, global spending on AI is expected to reach $2.5 trillion in 2026 alone, reflecting sustained enterprise confidence in its long-term impact. At the same time, a survey shows that 78% of organizations report regularly using generative AI in at least one business function, underscoring how rapidly adoption has moved from experimentation to operational use.
Yet, as capabilities expand across automation, analytics, and content generation, a persistent gap has drawn increasing attention. At the same time, research into AI meeting tools highlights ongoing challenges in aligning automated outputs with human expectations and interaction patterns, reinforcing that effective collaboration between AI and users remains difficult to achieve.
From Riva Wilkins' perspective, this observation reflects a broader misunderstanding of what meetings represent within organizations. As founder and President of VUETELLIGENCE, she explains that meetings are rarely isolated events. She notes that they function as convergence points where decision-making, collaboration, and knowledge exchange intersect. "When people think about meetings, they often reduce them to scheduled conversations," Wilkins says. "But in reality, they are where strategy is shaped, relationships are built, and outcomes are defined in real-time."
According to Wilkins, this complexity is precisely why the space has remained underdeveloped in AI applications. "Many solutions focus on transcription and scheduling, but overlook the deeper layers of interaction," she says. "For us, that realization made it clear that meetings had been underestimated as a critical AI use case." From her viewpoint, the gap is not technical alone but conceptual, rooted in how organizations interpret communication workflows.
This understanding informed the development of VUETELLIGENCE, which is structured as an AI-enabled engagement ecosystem designed to support large-scale, interactive communication. The platform integrates live streaming, collaboration tools, and intelligent systems that assist participants in navigating complex discussions. Wilkins notes that the goal is to enhance continuity across conversations while maintaining the human element that drives decision-making. She explains that features such as AI-supported meeting environments and intelligent assistants are intended to provide contextual insights without interrupting the natural flow of dialogue.
"Technology becomes most effective when it supports the way people already think and interact," Wilkins says. "If it disrupts that process, it creates friction instead of value." Her approach reflects a broader shift toward embedding AI within existing human systems rather than replacing them outright.
The implications extend beyond operational efficiency. From Wilkins' perspective, meetings represent an untapped layer of organizational intelligence. She explains that when interactions are structured, analyzed, and connected over time, they can generate insights that influence both short-term decisions and long-term strategy. This perspective, she notes, aligns with a growing emphasis on continuity in enterprise communication, where fragmented conversations often lead to lost context and reduced effectiveness.
The connection to DEIJIDESIGN further illustrates how this philosophy translates across industries. As a luxury design brand focused on Italian-crafted footwear and accessories, DEIJIDESIGN operates within a space traditionally defined by physical craftsmanship. As President and Designer of DEIJIDESIGN, Wilkins notes that digital engagement has become increasingly important in how brands communicate with audiences.
"We've been exploring ways to use VUETELLIGENCE's infrastructure to support more interactive showcases and real-time engagement, moving beyond static presentations in a way that feels more connected to the audience," she says.
According to Wilkins, this integration reflects a broader principle that applies across sectors. "Whether it is design, technology, or business strategy, communication is the thread that connects everything," she explains. "When that thread is strengthened, the entire system becomes more effective." Her view suggests that advancements in meeting intelligence could influence corporate operations, brands, creators, and audiences to interact in digital environments.
The broader AI landscape reinforces the relevance of this direction. From Wilkins' perspective, as investment continues to accelerate and capabilities expand, attention is gradually shifting toward areas where impact remains underdeveloped. She suggests that the identification of meetings as a gap reflects the evolving maturity of the industry, where organizations are beginning to look more closely at how AI performs in real-world environments. In her view, the focus is no longer limited to what AI can do in theory, but how consistently it delivers value within complex, human-centered workflows.
Wilkins sees this moment as both a validation and a responsibility. She notes that recognizing a gap is only the first step, and that meaningful progress depends on how effectively solutions align with real-world needs. "When a challenge becomes visible at a broader level, it creates an opportunity to approach it with greater clarity and intention," she says. "The question is not whether AI can participate in these spaces, but how it can do so in a way that respects and enhances human interaction."
As organizations continue to navigate the next phase of AI adoption, the role of communication is likely to become increasingly central. "Meetings are no longer just routine touchpoints," Wilkins says. "They are where technology and human insight converge, and the future of AI will be defined by how well it understands and supports the way people connect, collaborate, and make decisions together."
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