Agentic AI Deployment and Scaling Playbook
64 professional files (6 PDFs + 58 Excel workbooks) | 349+ spreadsheet tabs | 2,730+ rows of structured content | 11 organised folders
Agentic AI systems that autonomously plan, reason, and execute multi-step tasks represent the most significant architectural shift since cloud computing. But deploying agents in production introduces risks that traditional ML governance was never designed to handle: unbounded action spaces, emergent behaviours, tool-use escalation, and cascading failure modes. This playbook gives you the complete framework to deploy, govern, and scale agentic AI safely.
WHAT YOU GET: A THREE-PHASE JOURNEY
Phase 1: Diagnose. Seven domain assessments (30 questions each, 210 total) evaluate readiness across architecture, safety, governance, infrastructure, human-agent teaming, observability, and scaling.
Phase 2: Set Goals. Five PM template workbooks with deployment roadmaps, capability milestone trackers, autonomous system risk registers, and coordination plans.
Phase 3: Implement. Nine operational runbooks covering agent design patterns, safety testing, production monitoring, and multi-agent scaling.
7 DOMAIN ASSESSMENTS (210 QUESTIONS)
• Agentic Architecture and Design Patterns (ReAct, function calling, multi-agent topologies)
• Agent Safety and Guardrails (sandboxing, kill-switches, output validation)
• Governance and Accountability for Autonomous Systems
• Infrastructure and Orchestration (memory systems, tool integration)
• Human-Agent Collaboration and Oversight
• Observability, Tracing, and Debugging
• Multi-Agent Scaling and Coordination
9 OPERATIONAL RUNBOOKS
• Agent Use Case Qualification and Risk Tiering Framework
• Tool-Use Permission Matrix and Capability Boundary Definition
• Agent Safety Testing and Red-Teaming Protocol
• Production Agent Monitoring and Anomaly Response Checklist
• Human-in-the-Loop Escalation Design Template
• Agent Memory Architecture and Context Management Guide
• Multi-Agent Orchestration and Task Delegation Runbook
• Agent Cost Optimisation and Token Budget Management Worksheet
• Agent Incident Post-Mortem and Continuous Improvement Template
WHO THIS IS FOR: AI/ML Engineering Leaders, Chief AI Officers, Platform Teams, Risk and Compliance Professionals, Product Managers, and Management Consultants.
Aligned with NIST AI RMF, ISO/IEC 42001, OWASP LLM Top 10, and production patterns from enterprises deploying agent systems at scale.
Instant download. Run your first readiness assessment today.
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Source: Best Practices in Artificial Intelligence Excel: Agentic AI Deployment and Scaling Playbook Excel (XLSX) Spreadsheet, Gerard Blokdijk
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