The Agentic Enterprise Strategy: Architecting and Governing Autonomous AI Agent Ecosystems - Hardcover

Vivek Acharya; Amit Tyagi

Hardcover

ISBN 13: 9798903428939

Verlag: Notion Press, 2026

Inhaltsangabe

Most enterprise AI agent projects stall after the pilot. Demos impress. Production kills. The gap between an agent that works in a sandbox and one that survives compliance, cost scrutiny, and organizational friction is where most initiatives quietly die. This book closes that gap.

The Agentic Enterprise Strategy is the definitive Agentic Engineering playbook, the discipline for designing, building, governing, and operating autonomous, goal-driven AI systems that work in production. Written for AI engineers, enterprise architects, and strategy leaders, it moves you from prototypes to reliable, scalable systems.

Across five chapters, you'll master cognitive architecture design, reasoning and planning loops, memory models, tool integration, multi-agent orchestration, and governance frameworks calibrated to enterprise risk. You'll also learn the AgentOps discipline, evaluation gates, observability, incident response, cost controls, and safe rollout strategies that keep systems reliable long after launch.

Every framework is grounded in production reality: legacy systems, auditability, security, regulatory alignment, and organizational friction. The companion website delivers ten operational artifacts, design checklists, anti-patterns workbooks, governance templates, orchestration blueprints, incident runbooks, and monitoring playbooks, so teams build with proven scaffolding, not from scratch.

No hype. No theory without practice. Just the architecture, operational discipline, and governance playbook for building trustworthy, scalable agent ecosystems in 2026 and beyond.

Details zur Ausgabe

• Verlag: Notion Press
• Erscheinungsdatum: 2026
• Sprache: Englisch
• ISBN 13: 9798903428939
• Einband: Hardcover
• Anzahl der Seiten: 356
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: Nicht verfügbar