The Agentic Enterprise: How AI Pipelines Are Replacing Static Automation: A Practitioner's Guide to Multi-Agent Workflows - Tapa blanda

Sinopsis

Is your enterprise stuck in static automation?

Brittle ETL, rule-based scripts, and legacy RPA are operational debt. They fail the moment reality diverges from spec, creating a maintenance burden that drains budgets and slows down innovation.

The Agentic Enterprise is the definitive blueprint for moving beyond rigid rule-following. It reveals how to replace static automation with decomposed, context-aware multi-agent pipelines that can absorb real-world variation without requiring a code change for every new edge case.

Written specifically for CTOs, senior engineers, and technical operators, this book bypasses vendor hype to deliver a rigorous, evidence-backed framework for building, deploying, and governing AI infrastructure at scale.

Inside, you will learn how to:

• Decompose Workflows: Implement the proven five-agent production pipeline (Research, Draft, Verify, Revise, Publish) to eliminate context collapse.
• Prevent State Drift: Design source-of-truth schemas and version-controlled agent state to keep your pipelines auditable and debuggable.
• Audit at Scale: Build a dedicated verification layer that catches hallucinations and errors faster and cheaper than brute-force sampling.
• Harden the Architecture: Secure your pipelines against cascading prompt injections and set up dynamic model routing to control inference costs.
• Deploy to Production: Connect agents to real enterprise systems, whether you are using managed cloud APIs, integrating self-hosted open-weight models like Ollama, managing multi-container Docker deployments, or orchestrating complex n8n pipelines.
• Measure True ROI: Establish pre-deployment baselines, stage-gate rollouts, and pre-defined kill criteria to ensure your AI pilot actually delivers business value.

Stop maintaining yesterday's rules. Build the next layer of enterprise systems.

Grab your copy of The Agentic Enterprise and start building automated workflows that adapt, scale, and deliver.

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