The Agentic Enterprise.
Book Structure: The Agentic Enterprise
Part I: The Paradigm Shift
Chapter 1: The Death of the "Zap"
Why linear, trigger-based automation is failing the modern firm.
The rise of "Reasoning Engines" and the move from bots to agents.
Chapter 2: Defining the Agentic Ecosystem
A breakdown of the 2026 tech leaders: Workato, Microsoft Copilot Studiio, and Google Vertex AI.
How to choose a "Switzerland" platform (vendor-neutral) vs. a "Walled Garden" (ecosystem-native).
Part II: The 100-Case Playbook
Chapter 3: The Departmental Registry
A curated directory of the 100 use cases (Finance, HR, IT, Supply Chain, and Sales).
Identifying your "Low-Hanging Fruit" vs. "High-Impact Moonshots."
Chapter 4: Deep Dive: The Predictive Maintenance Revolution
A technical and strategic look at Use Case #83.
How sensors and AI agents prevent catastrophic industrial failure.
Part III: The Architect’s Handbook
Chapter 5: Designing the "Genie"
Prompt Engineering for Enterprise Agents: Role, Goal, Tools, and Guardrails.
The "Thought-Action-Observation" loop: How agents think through problems.
Chapter 6: Data: The Fuel of the Engine
Cleaning "Data Sludge": Why your AI is only as good as your ERP integrity.
Real-time data synchronization across cloud silos.
Part IV: The Executive Scorecard
Chapter 7: The Math of Machines (ROI)
Beyond "Time Saved": Calculating risk mitigation and asset life extension.
Presenting AI value to the Board of Directors.
Chapter 8: Governance, Ethics, and the "Kill Switch"
Setting up Human-in-the-Loop (HITL) checkpoints.
Managing AI "Hallucinations" in high-compliance environments (Legal/Finance).
The Self-Driving Enterprise
The 5-year roadmap: Moving from a company that uses AI to a company that is orchestrated by AI.
The "Cream" : 3 Key Takeaways
Agents are Resilient: Unlike old automation, agents don't "break" when a website changes; they find a workaround.
Context is King: The best automation doesn't come from the smartest model, but the model with the best access to your internal data.
Governance is Growth: Companies that build strict "Guardrails" early on actually scale AI faster because they have the trust of their legal departments.
Comments
Post a Comment