Collaborative Intelligence: Leading the Forefront of Enterprise Innovation

What will the process of creation and renewal look like by 2035? How will we leverage innovation to meet the challenges of the future in areas from our power grid and collaborative intelligence to community health and resilience building? Explore questions, ideas, and trends likely to affect business and society over the next decade. Let these ideas serve as a springboard for structured speculation about emerging issues and the next ten years.

Join Matt Alverson ‘01, partner at the global design and innovation consultancy, IA Collaborative, who is currently scaling a practice and set of methodologies defined as Collaborative Intelligence: Accelerated Innovation through AI Engineering and Design. From autonomous bots to biotech, Alverson helps companies “design their next disruptor before someone else does.” Hear insider insights on the role corporations have in creating the future of human experience.

PLEASE STAY TUNED FOR A RECORDING OF THIS JANUARY 2025 EVENT.

In this forward-looking session of the Ten Years Hence series, Matt Alverson ’01—partner at the global innovation consultancy IA Collaborative—laid out a compelling vision for the next decade of business transformation. At the heart of his talk was the concept of Collaborative Intelligence, a methodology that combines artificial intelligence, human-centered design, and agile engineering to enable faster, more adaptive innovation within large organizations. But rather than falling into AI hype, Alverson approached the subject with both clarity and caution: Collaborative Intelligence, he emphasized, is a toolset—not a panacea.

Drawing from his own work advising companies across industries—from healthcare to defense—Alverson made the case that innovation today requires both technical sophistication and moral imagination. AI can accelerate decisions, generate new models, and create massive efficiencies, but it cannot determine what truly matters. That responsibility lies with humans. In his view, the most successful organizations in 2035 will be those that embed foresight and ethical design directly into their workflows—proactively designing the future, rather than waiting to be disrupted by it.

A core theme of the lecture was speculative strategy: the idea that companies must develop multiple future scenarios and “prototype” their way through uncertainty. At IA Collaborative, Alverson’s teams help clients sketch out high-stakes transformations—such as reshaping food systems, redesigning community health ecosystems, or preparing for autonomous infrastructure—and then rapidly test those ideas using AI and cross-functional collaboration. He highlighted how this approach breaks silos and accelerates decision-making while remaining accountable to real human needs.

But innovation at scale also comes with risks. Alverson warned against the dangers of speed without reflection. Generative AI can produce results fast—but without strong frameworks, it can amplify bias, trivialize nuance, or produce elegant solutions to the wrong problems. “What’s the cost of being wrong at scale?” he asked. Companies must evolve from viewing innovation as just product launches to seeing it as a form of civic design—a responsibility to serve not just markets, but communities and futures.

Ultimately, Alverson issued a challenge: to build the future with greater intentionality. The next decade will not be shaped by code alone, nor by creativity in isolation. It will be shaped by those who can combine technical mastery with human insight, velocity with reflection, and profit with purpose.


Collaborative Intelligence Defined | [00:04:30 → 00:06:30]
Alverson introduced Collaborative Intelligence as an integrated practice of AI, design, and business strategy—where machines amplify but do not replace human decision-making.

Designing Before Disruption | [00:10:15 → 00:13:00]
Rather than wait for disruption, companies must generate multiple plausible futures and design resilient strategies before change hits.

The Power of Co-Creation | [00:15:45 → 00:17:30]
Effective innovation doesn’t come from silos. Cross-disciplinary teams—with engineers, designers, and executives—drive deeper, faster breakthroughs.

AI is Fast, But Not Wise | [00:20:10 → 00:22:00]
Tools like generative AI need principled framing. Without thoughtful constraints, they risk scaling shallow or dangerous outputs.

Innovation as Moral Responsibility | [00:27:30 → 00:30:00]
Alverson urged leaders to weigh both opportunity and consequence—treating design as an ethical act, not just a business function.


  1. Interdisciplinary Urgency: “You don’t need engineers handing things off to designers and vice versa—you need them in the same room, co-creating in real time.”
    — Matt Alverson [00:16:00 → 00:16:15]
  2. Proactive Innovation: “Disruption is inevitable. You can either get ahead of it—or let it define you. We help companies design their next disruptor before someone else does.”
    — Matt Alverson [00:10:20 → 00:10:45]
  3. AI with Intention: “If you’re not telling the AI what matters—what not to do, what not to prioritize—you’ll get answers that may be fast, but hollow.”
    — Matt Alverson [00:20:25 → 00:20:45]
  4. Ethics at Scale: “We’ve reached the point where the speed of our tools demands deeper reflection. What’s the cost of being wrong—at scale, in public, in real time?”
    — Matt Alverson [00:28:10 → 00:28:30]
  5. Corporate Impact: “Companies today aren’t just building products. They’re building culture, trust, expectations. That’s power—and it comes with responsibility.”
    — Matt Alverson [00:29:40 → 00:29:55]
  6. Speculative Futures: “We don’t predict—we prototype. We create multiple futures so teams can make better bets in the present.”
    — Matt Alverson [00:12:15 → 00:12:30]
  7. Design’s True Role: “Design isn’t about aesthetics anymore. It’s about helping people and systems make better decisions, faster.”
    — Matt Alverson [00:17:45 → 00:18:00]

BusinessInnovationMendoza College of BusinessUniversity of Notre Dame

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