A playbook to take a model from validated to production safely, packaging, testing, deployment, monitoring, and rollback, under MLOps discipline. This is the AI Model Deployment Playbook from the Stratenity Library, a governed consulting deliverable that is already built for you. It gives your team the full working method for AI model deployment, and it walks through everything from deployment readiness and the production gate to rollback, incident response and the operating model. Every asset ships with a worked client example, a clear RACI, defined KPIs, and governance you can defend, so your team adapts it to a live client engagement instead of starting from a blank page.
What this playbook covers
This is a preview of the full deliverable. Inside the Stratenity Library, this playbook walks a consultant through the complete method, section by section, with a worked client example threaded throughout.
- Context, Scope and Objectives
- Approach and Methodology
- Deployment Readiness and the Production Gate
- MLOps, Pipelines and Continuous Delivery
- Monitoring the Live Model
- Drift Detection and Retraining
- Rollback, Incident Response and the Operating Model
- Performance and Outcomes
- Findings and Insights
- Recommendations and Roadmap
- Value Realisation Framework
- Risks, Assumptions, Issues and Dependencies (RAID)
- Governance and Next Steps
Review, download, and activate in 48 hours
Stratenity Library subscribers can review this playbook in full, download it, and activate it into a governed, client-ready deliverable in 48 hours rather than weeks. Each asset ships with a worked client example, a clear RACI, defined KPIs, and governance you can defend.
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