Category boundaries
RDI vs cameras, AI, dashboards, and digital twins
RDI is not another name for a camera, dashboard, AI model, or digital twin. It is the operating layer that makes those tools useful in construction workflows.
What each layer contributes
Each tool matters. The category question is whether the tool helps teams establish truth, route action, and improve outcomes.
| Technology | Strength | RDI test |
|---|---|---|
| Construction cameras | Persistent visibility and playback. | Visibility alone does not define the workflow, evidence standard, or decision loop. |
| Dashboards | Aggregated status and reporting. | A dashboard can summarize reality without explaining what action should follow. |
| AI video analytics | Detection, search, classification, and pattern discovery. | AI is useful only when detections are trusted, routed, reviewed, and closed. |
| Digital twins and BIM | Structured model context and design intent. | The model still needs current reality and evidence of deviation. |
| Reality-Driven Intelligencecategory | A category system that connects reality capture, ground truth, interpretation, action, and command. | It requires workflow discipline, evidence governance, and clear ownership. |
A simple rule
A useful category definition should tell people what to include and what to reject.
- 01
Not enough
A clear video feed with no workflow context.
- 02
Better
A trusted record connected to time, location, schedule, scope, and responsibility.
- 03
RDI
A closed loop where evidence creates a decision, action, or learning record.
Next: read the RDI manifesto or map the category with the maturity model.