The Agentic AI Delivery Playbook
Most agentic AI projects fail not because of model quality but because of missing infrastructure: no evaluation harness, no human escalation design, no tool reliability strategy. This playbook covers everything we've learned shipping production agent systems - from the first scoping conversation to 90-day post-launch review. It's the document we wish had existed when we started.
What's inside
Part 1: Discovery & Scoping (pages 1-8) - Use case canvas, effort/impact matrix, data readiness checklist
Part 2: Architecture Patterns (pages 9-16) - Single-agent, supervisor pattern, multi-agent orchestration
Part 3: Evaluation Harness Design (pages 17-22) - Offline metrics, test set curation, CI/CD integration
Part 4: Human-in-Loop Design (pages 23-26) - Escalation patterns, confidence routing, handoff design
Part 5: Production Readiness (pages 27-30) - Go-live checklist, monitoring setup, cost governance
Appendix: 30/60/90-day post-launch review templates
What you'll get
Use case canvas template: qualify any agent use case in 30 minutes
Architecture decision record (ADR) templates for common agent design decisions
Evaluation harness starter code (Python) with RAGAS integration
Human-in-loop escalation design patterns with worked examples
Pre-launch go-live checklist: 47 items across technical, operational, and governance dimensions
Post-launch review templates for 30, 60, and 90-day checkpoints
Who this is for
Engineering leads scoping their first production AI agent
AI product managers defining acceptance criteria for agent deployments
CTOs and VPs of Engineering evaluating agentic AI architecture options
AI consultants and delivery teams needing a systematic delivery framework
Free download
The Agentic AI Delivery Playbook
32 pages · No spam
