AGENTIC AI 2.0

Your AI agent demo was flawless. Your production deployment was a disaster. Sound familiar?

Eighty percent of AI agent projects never make it past proof-of-concept. Not because the technology doesn't work, but because nobody told you what it actually takes to go from ten test users to ten thousand production users. Until now.

AGENTIC AI 2.0 is the no-nonsense playbook for CTOs, CIOs, and enterprise architects who are done with impressive demos that collapse under real-world load. This is the book that shows you exactly how the successful twenty percent built production-grade agent systems that actually scale, deliver ROI, and survive contact with reality.

What broke your last AI project?

Error handling that only worked on the happy path. Zero observability when things went wrong at 3 AM. Security that wouldn't pass a basic audit. Costs that exploded from $100 to $10,000 per month. Legacy systems that fought every integration. Teams that built brilliant prototypes but had no clue how to run production operations.

Here's what you'll get instead:

The seven critical dimensions that separate demos from production systems, with concrete implementation frameworks you can deploy Monday morning. Real-world blueprints from companies that scaled from 100 to 100,000 transactions, including architecture diagrams, cost breakdowns, and the mistakes that almost killed their projects. An AgentOps framework that tells your team exactly how to monitor, debug, and optimize autonomous systems running 24/7. Production-tested strategies for API integration, RAG at scale, vector databases, and cost engineering that won't bankrupt your budget. The fifty most common failure patterns, catalogued from 200+ enterprise implementations, so you don't repeat expensive mistakes others already made. Compliance playbooks for GDPR, AI Act, HIPAA, and SOX that actually work in production, not just on paper.

This isn't theory. This is hard-won reality.

Every pattern in this book comes from actual production deployments. Customer service agents handling 85% of tickets autonomously. Procurement agents saving $4.2 million in year one. Financial reporting agents cutting close time from fifteen days to four. These aren't unicorn stories. They're repeatable results from companies that understood what production-ready actually means.

Who this book is for:

CTOs and CIOs deciding whether to bet on agentic AI. Enterprise architects designing systems that need to scale. Engineering leaders whose POCs succeeded but production failed. Product managers responsible for AI initiatives with real P&L accountability. Anyone who's tired of vendor promises and wants the unfiltered truth about what works.

What you won't find here:

Code tutorials, basic prompt engineering, or hype about AGI. This book assumes you understand the technology. It focuses on the strategic, architectural, and operational decisions that determine whether your $2 million investment becomes a competitive advantage or a write-off.

The bottom line:

Production-grade AI agents deliver 60-80% efficiency gains, double-digit cost reductions, and sustainable competitive advantage. But only if you build them right. This book shows you exactly how.

Stop building demos. Start shipping production systems that scale.