Executive Summary:
Robotics & computer vision are useful—but manufacturing value arrives when plants run on a common AI platform with MLOps, data contracts, and SWAT teams. Below are the 7 moves we deploy to turn lab demos into scaled, governed performance.
1) Standardize data contracts at the edge
Define sensor/PLC contracts; enforce lineage & governance from line to cloud.
2) Treat models as products (MLOps)
CI/CD for data + models; versioning; automated testing; canary rollouts; rollback hooks.
3) Reusable components
Prompt and pipeline libraries; shared feature store; common anomaly detection/quality apps to avoid bespoke rebuilds.
4) CRASHED your software stack
Exploit AI‑driven development gains (30–60% time savings on code/test/documentation in like‑for‑like tasks), but harden for safety.
5) Trust & compliance
Zero‑trust network segments; role‑based controls; verifiable claims for supplier/part ID; quality audit trails.
6) SWAT teams
Cross‑functional rapid‑response squads to unblock data, model, or PLC issues; measure line OEE lift per deployment.
7) CFO‑visible benefits
Map each deployment to scrap reduction, energy savings, throughput hours—a single value ledger.
30/60/90 Day Path
- 30: Audit lines, data contracts, & top 3 use cases.
- 60: First models in CI/CD; quality app replicated to 2nd line.
- 90: Portfolio in motion; value ledger reported to CFO monthly.
Call to action
Stop funding pilots; fund a platform. We’ll turn your best demo into a plant‑wide pattern—safely and fast.