This playbook helps you deliver measurable value within 90 days while setting up the foundation to scale.

Weeks 0 to 4: Define and Prepare

• Select 1 or 2 high-value use cases with clear KPIs
• Validate data availability and quality for the use cases
• Establish governance, security, and privacy guardrails
• Stand up the minimum viable data platform or sandbox

Weeks 5 to 8: Build and Validate

• Deliver an end-to-end data pipeline with monitoring and SLAs
• Build analytics or model prototypes tied to business workflows
• Test for bias, performance, and operational risk
• Document decisions, assumptions, and data lineage

Weeks 9 to 12: Operationalize

• Productionize pipelines and models with CI/CD
• Set up monitoring for data drift and model performance
• Train end users and embed insights into workflows
• Capture outcomes and refine the backlog

Quickstart Success Metrics

• Time to first production insight
• Data quality and pipeline reliability
• Adoption and decision impact
• Cost-to-value ratio for the first use case

CTA

Ready to move from strategy to measurable impact?

• Request a readiness assessment
• Schedule a strategy call

Sources

• Google Cloud MLOps: Continuous Delivery and Automation Pipelines
• NIST AI Risk Management Framework (AI RMF 1.0)
• AWS Well-Architected Framework