March 31, 2026 | Hosted at TD Bank, Toronto. Canada

Innovation: What’s Working Inside Large Enterprises

Morning Closed Session (Members Only)

As AI moves from experimentation to production, the pressure is no longer “can we build a use case?” but “can we innovate at portfolio scale, safely, and fast enough?” In this closed-door, peer-only session, members will share what is actually working (and not working) as they rewire how their organizations fund, design, govern, and scale AI-driven innovation.

We’ll focus on the practical realities of moving from pilots to platforms: integrating AI into core products and processes, aligning business and technology ownership, resetting risk and control frameworks, and building the talent and operating models needed to sustain momentum.

Guiding questions:

• How are you structuring AI innovation portfolios (labs vs. business-led vs. federated) and what’s unlocked real P&L impact?
• What has had to change in your data, architecture, and risk frameworks to operate at the current speed of AI?
• How are you organizing product, engineering, and business teams to move from one-off use cases to reusable components and platforms?
• Where have you hit friction—culture, governance, vendor/model choice, security—and how have you overcome it?
• What metrics are you using to distinguish noise from signal in AI innovation?

At the Edge: Toronto’s AI Ecosystem

Afternoon Open Session

Toronto sits at the intersection of frontier AI research and a vibrant startup ecosystem. In this session, we bring in investors, founders, and enterprise AI leaders to explore what they are seeing “at the edge” — and how large companies can plug into that innovation without losing control of risk, security, or resilience.

Perspectives will include:

• Venture Capital View – Salim Teja, Partner, Radical Ventures

How leading VCs identify and scale transformative AI companies; patterns of successful enterprise–startup collaboration; emerging theses in agentic and frontier AI.

• Founder / Applied Research View – Maksims Volkovs, Founder, Layer 6AI & AI Leader, TD Bank

How foundation models and agentic capabilities are evolving; what it takes to operationalize them inside a highly regulated enterprise; the role of co-innovation with model builders.

• AI Company View – Martin Kon, Founder, Cohere

What it really takes to bring AI into large enterprises at scale; how concerns about trust, governance, and data security are shaping deployments; which use cases are sticking.

• Enterprise Innovation & Design View – Imram Khan, Head of Innovation and Design, TD Bank

How design-led approaches and generative AI are being used to turn complex problems into better customer and colleague experiences; lessons from live initiatives.

Guiding questions:

• How should large enterprises structure engagements with startups and emerging AI companies to maximize speed and mutual value—without creating “black box” dependencies?
• What signals do investors and founders look for in an enterprise partner that is “ready” to co-innovate?
• How can enterprises plug frontier tools and models into legacy estates while preserving security, resilience, and regulatory posture?
• Where are the next disruptive AI and agentic capabilities likely to emerge from this ecosystem—and how can members position their organizations to benefit?

Connecting the Dots

Optional Dinner Conversation | Downtown Toronto

An optional, off-the-record dinner will bring together members and selected guests from the Toronto AI ecosystem for a more informal discussion. The goal: connect the day’s insights—internal lessons from large enterprises and edge perspectives from founders and investors—into a few concrete ideas participants can take back and test in their own organizations.

Executive Technology Board (c)