20 practical chapters covering mapping, prioritization, data foundations, search, onboarding, automation, and scaling.
90‑day pilot roadmap with step‑by‑step milestones and success criteria.
Hypothesis templates to turn friction points into measurable experiments.
Ready‑to‑use prompts and prompt templates for retrieval, summarization, and task automation.
Semantic search blueprint including embedding strategy, hybrid ranking, and caching tips.
Human‑in‑the‑loop playbook with reviewer UI patterns, routing rules, and labeling workflows.
Conversational agent recipes: intent maps, RAG setup, escalation rules, and multilingual guidance.
Automation patterns: RPA vs API orchestration vs LLM‑assisted flows and guardrail checklists.
Targeted friction guidelines for safe confirmations and risk‑based speed bumps.
Explainability and trust toolkit: layered explanations, confidence calibration, and evidence panels.
Bias and compliance checklist aligned to EU privacy principles and documentation templates.
Performance and cost optimization tips: distillation, quantization, caching, and cost‑aware routing.
Observability framework: telemetry schema, dashboards, drift detection, and feedback loops.
Integration patterns: data contracts, event buses, model registries, and SDK examples.
Security and privacy controls: minimization, pseudonymization, federated options, and incident playbooks.
Change management plan: stakeholder mapping, training modules, and adoption metrics.
Measurement templates: KPI definitions, A/B test designs, and dashboard examples.
Scaling checklist: platform primitives, governance roles, and cost controls.
Incident and rollback playbooks with communication templates and post‑mortem steps.
Appendix of assets: sample dashboards, code snippets, checklist PDFs, and a one‑page executive brief for stakeholder buy-in.
