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Integration playbook: from pilot to production

A practical integration playbook begins with a focused pilot that addresses a narrow, high-value use case. Example: a logistics operator that wanted to reduce routing exceptions started with a single depot and a rule-based anomaly detector, then added a learned model for travel-time prediction. Over six weeks the team instrumented inputs, measured downstream effects on on-time delivery and refined feature extraction. Key steps included data validation pipelines, reproducible training runs, and a lightweight monitoring dashboard that tracked both model drift and business outcomes such as reduced late deliveries. Importantly, the pilot included a rollback plan, access controls for dataset updates, and a cadence for retraining tied to label collection. This case shows that measurable progress can be achieved with incremental changes and disciplined evaluation rather than wholesale replacement of core systems.