AI Agents for Business Leaders
Deploy an Agentic AI Workforce, Scale on Autopilot, and Outperform Your Competition–No Coding Skills Required (AI for Business, Strategy, & Leadership)
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ナレーター:
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Tom Wilde
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著者:
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Austin Chen
概要
AI tools are fast. Your business is still waiting on you.
You've adopted the tools. You've written the prompts. You've saved real time. And somehow, you are still the bottleneck in every workflow you've built.
That isn't a skills problem. It's a structural one. AI tools—regardless of how advanced they become—operate on a single principle: they wait for instructions, execute one task, and stop. The human stays in the loop because the architecture requires it. Every handoff, every review, every decision still routes through you. The speed changed. The dependency didn't.
AI Agents for Business Leaders introduces the Agentic Maturity Model—a five-level framework that shows exactly where your business sits today, what the next level looks like, and what changes when you get there. Most businesses are stuck at Level 1 or 2. The ones pulling ahead have reached Level 3 and beyond—where AI doesn't assist work, it owns it.
The difference is architectural. AI agents don't wait for prompts. They pursue outcomes—perceiving information across systems, reasoning through decisions, executing across platforms, and learning from results without being told to. A customer service agent that resolves inquiries at midnight. A lead qualification system that processes prospects in minutes. A content operation that researches, drafts, and schedules while you sleep.
Inside, you'll learn:
● The Agent-Native Process Design Framework—a five-step method for redesigning workflows from scratch, because automating a human process with agents produces mediocre results every time
● The Four Architecture Patterns—single-agent, sequential pipeline, hub-and-spoke, and hierarchical systems—and how to match the right pattern to the right problem before building anything
● The First-Agent Selection Matrix—ten candidate projects scored by business value, technical feasibility, and learning potential, so your first build creates momentum instead of frustration
● Multi-Agent Orchestration Protocols—how to design agents that coordinate, hand off context, and operate as a system rather than a collection of disconnected tools
● The Three-Cycle Improvement System—weekly, monthly, and quarterly review cadences that turn agent performance data into compounding operational gains
● Governance Frameworks for Autonomous Systems—the trust-building structure that lets you delegate confidently to systems that represent your business without constant oversight
No technical background required. No code. Real tools, real costs, real implementations—built for the business owner who has outgrown prompts and is ready to build something structurally different.
The gap between using AI and deploying AI is where the next decade of competitive advantage gets decided. This book is the bridge.
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