From Execution to Specification: Redefining Competitive Advantage

As agentic systems commoditize execution, organizations face a fundamental strategic shift. Competitive moats built on operational efficiency are eroding. Companies like Klarna have radically restructured their workforce around AI agents, while others pursue incremental integration. The emerging consensus: the organizations that win will be those that master the art of specifying what to build, not how to build it.

What does your competitive moat look like when execution is commoditized? Who owns the "specification layer" in your organization? How are you shifting investment from tool mastery to strategic AI design?

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Topic II

Governing Autonomous Decisions: Risk, Trust, and the Agentic Enterprise

Agentic AI systems don't just advise — they act. This creates entirely new risk profiles for enterprises: autonomous procurement decisions, customer-facing agents making commitments, and AI systems triggering workflows with real financial consequences. Traditional governance frameworks weren't designed for non-human actors making consequential choices at scale, and most boardrooms are only beginning to grasp the implications.

What's your governance model for AI agents that make autonomous decisions? How do you assign accountability when an agent acts on behalf of the firm? Where do you draw the line between human oversight and agent autonomy?

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Topic III

The Middle Management Reckoning: Redesigning the Human-Agent Workforce

The largest role transformation in a generation is unfolding in middle management. As agentic systems absorb coordination, reporting, and process management tasks, the value of managers shifts from supervising execution to orchestrating human-agent teams, curating strategic context, and developing organizational capability. Companies like Infosys, JPMorgan Chase, and Siemens are charting very different paths through this transition — with dramatically different talent strategies.

How are you redesigning roles around human-agent collaboration rather than task automation? What does your talent strategy look like when your best people become orchestrators? Are you measuring AI ROI through cost reduction, or capability building — and does your board know the difference?

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