Move safely from recommendations to closed-loop optimization
Intelecy supports a staged path from analysis to automated optimization. Teams start by exploring and validating models, then move to alerts, forecasts, recommendations, approved actions, and eventually governed closed-loop feedback where appropriate.
- 14:22 · approved · −1.4°C · m.lien
- 13:55 · auto · −0.6°C · within guardrails
- 13:10 · dismissed · low confidence (74%)
Stages
Monitor
Models run in live production and show predictions and alerts.
Recommend
Models suggest actions or setpoints with context and confidence.
Approve
Human operators approve actions before they are sent to the control system.
Automate
Approved logic streams predictions or setpoints back to control systems within defined safety boundaries.
How it fits into the full Intelecy workflow
- 01
Connect relevant data through secure industrial integration.
- 02
Use Data Explorer to understand the historical and live process context.
- 03
Build, validate, deploy, and monitor the relevant model or workflow.
- 04
Route outputs to dashboards, alerts, recommendations, or controlled automation.
- 05
Measure the impact with verified operational KPIs.
Proof
Proof requirementAdd one relevant customer quote, screenshot, or mini story that proves this capability in a real industrial context. If proof is from an adjacent industry, label it clearly.
See this capability on a real process workflow
In a demo, Intelecy can show how this capability fits into your data, your team, and your operational targets.