HeyGriv learns how your plant actually runs — its lines, lots, work instructions, deviations and decisions — so operators and AI execute work with complete, permission-aware context.
It lives in MES tickets, SharePoint SOPs, shift logs, inboxes — and in the heads of your most senior operators. Every silo answers alone. Nobody sees the whole picture. Critical restarts are made with partial information because the full context is scattered across six plant systems.
Lines, lots, deviations, work instructions, decisions — captured automatically and connected into one continuously-learning model of how your plant actually runs. No more asking around. No more tribal knowledge. The graph remembers.
Every restart has a lineage — the stop, the handover, the quality hold, the deviation, who approved it. HeyGriv captures the full decision trail so you can scroll back through time and understand exactly why the line was released, not just that it was.
Multiple torque values often coexist on a line — some current, some superseded, some with customer exceptions. HeyGriv keeps every claim, weighs authority and recency, and shows its reasoning. Stale SOPs are stamped — never hidden.
HeyGriv is permission-aware at its core. Access locks and unlocks per role, just like your existing systems. If a user cannot open a work instruction, neither can the AI. It never becomes a privileged user — permissions determine exactly what each person and the AI can access.
Every shift, hold, approval and correction makes the graph richer — and harder to replace. This is a moat measured in records, not features. Over 12,000 plant records connected and counting.
The context layer for the plant floor.
Run a 30–60 day pilot with a measurable ROI report. Land one line, expand plant-wide.