The Enterprise AI Leadership Series / Governing, Scaling, and Competing with AI
EXECUTIVE DISCOVERY CONVERSATIONS
Choose the table conversation that most interests you. Each table explores a different perspective on how AI is reshaping the enterprise.
There are no right answers. The value is in the conversation.
Please note: only the upcoming or current Executive Discovery Conversation table topics will be visible. The page will be updated for each subsequent session.
Thursday Breakfast:
REIMAGINE - What could we become?
Table 1 – AI-Native Enterprise
- If you were designing your company from scratch today, what would you build differently because AI exists?
- What would you stop building altogether?
Table 2 – Organizational Design
- Which assumptions about how a large enterprise is organized become obsolete when AI can perform work continuously and at scale?
- What is the first organizational layer you would eliminate or radically redesign?
Table 3 – Customer Experience
- As AI makes it possible to understand customers at unprecedented depth, what should enterprises actually choose to know—and what should remain private?
- Does knowing more about a customer necessarily mean serving them better?
Table 4 – Work & Decision-Making
- Which aspects of work should we redesign around AI—and which should we deliberately preserve as human?
- What might we lose if we optimize every process for efficiency?
Table 5 – The Autonomous Enterprise
- Where should an enterprise allow AI to act autonomously—and where should human judgment remain non-negotiable?
- What is the cost of keeping a human in the loop—and what is the cost of taking the human out?
Table 6 – Enterprise Architecture
- How should enterprise architecture change when AI agents can continuously interact with systems, data, and one another?
- Does the application-centric enterprise eventually give way to an agent-centric one?
Table 7 – Business Model
- What business models become possible when the marginal cost of intelligence and digital work approaches zero?
- What existing revenue model becomes hardest to defend?
Table 8 – Products & Services
- If AI can fundamentally change what a product or service can do, where should enterprises rethink the product itself rather than simply add AI features?
- Are we adding intelligence to yesterday’s products—or designing entirely new ones?
Table 9 – Competitive Advantage
- Which advantages that matter today become less defensible as AI capabilities become widely available?
- What becomes harder for competitors to copy?
Table 10 – Human Differentiation
- As AI takes on more knowledge work, what capabilities become more valuable precisely because they remain uniquely human?
- What will exceptional human talent look like in an AI-native enterprise?
Table 11 – Strategic Restraint
- What if the best AI strategy for part of the enterprise is to use less AI, not more?
- Where might human judgment, simplicity, or even friction be an advantage?
Table 12 – The 2030 Enterprise
- If we meet again in 2030, what will we recognize as the defining characteristic of an AI-native enterprise?
- What are today’s leaders most likely to underestimate?