Your plants already run AI—vision QC, predictive maintenance, process control, copilots. But every line uses different tools. Leaders lack one place to see impact, manage risk, approve change, and scale what works. Overlook fixes that.
Visibility
Unknown false‑negative rate → scrap risk
Control
Unapproved model changes
Scale
No repeatable rollout path
Visibility. Controls. Collaboration.
Visibility
Inventory of Operating AIs with purpose, owners, guardrails, telemetry, and traceability—by line and plant.
Controls
Gated approvals, scenario‑based validation, drift monitoring, and safe rollbacks.
Collaboration
On‑the‑floor feedback loops, RACI, and reusable scenario packs across plants.
Impact Intelligence
AI Impact Score and Risk Score to prioritize where to invest and how to scale.
Connect cloud platforms (AWS, Azure, Google Cloud), MES/SCADA & historians, model registries, and ITSM (Jira/ServiceNow). Normalize telemetry into the Operating AI Record for dashboards, audits, and scoring.
Logo strip + connectors list
Security & compliance
SSO, role‑based access control, approvals with non‑repudiation.
Audit trail for models, data, changes, and decisions.
Data locality options and privacy controls.
Rollout plan (30/60/90)
1
0–30 days
Inventory 5–10 AIs in one plant
Wire minimal telemetry; stand up dashboards
Define guardrails and scenarios for two high‑impact AIs
2
31–60 days
Turn on gated approvals
Pilot canary/rollback for vision QC and PM
Set vendor governance gates; first Impact/Risk Scores