Agentic Strategy

A research pillar on the operating model shift that enables AI-native organizations to think, learn, and act with strategic intent.

The Problem

Traditional strategy assumes stable environments and linear execution. Agentic organizations need a new model that treats intelligence as a system, not a tool.

This pillar frames how intent, governance, and adaptive workflows combine to create compounding strategic advantage.

Key Concepts

• Strategic Intent
• Agent Stacks
• Adaptive Workflows
• Compounding Intelligence

Selected Essays

• The Stack To Enlightenment On AI Agents For Strategists

  A strategic map for understanding where AI agents create leverage.

• Agentic AI & the Coming Economic Shift

  Why AI agents reshape value creation at the system level.

• The Agentic Operating Model (AOM)

  A structural blueprint for agent-native organizations.

• The Rise of ChatGPT Agent

  The transition from prompts to persistent autonomous systems.

• Model Context Protocol (MCP)

  The infrastructure layer enabling controlled agent orchestration.

• Managing the New Workforce: Humans + Agents

  Redesigning roles in hybrid human-agent systems.

• Why AI Features Don’t Compound

  Why isolated AI features fail to create durable advantage.

• Ecosystem Strategy & Embedded Distribution

  Embedding intelligence across distributed systems.