Projsite documentation
Insights, recommendations and data quality
AI can identify changes and patterns, but result quality depends on source data and should be treated as decision support.
AI-generated insights
AI can identify meaningful changes, recurring patterns, deviations from goals, potential bottlenecks, unusual values and opportunities. Recommendations should be tied to meaningful patterns and may be omitted when no useful action follows.
Descriptive and predictive insights
| Type | Interpretation |
|---|---|
| Descriptive | Explains a pattern currently present in available data. |
| Predictive | Describes what may happen if patterns or conditions continue; directional or conditional, not guaranteed. |
Missing values and data quality
Focus and prioritisation
Intelligence can prioritise attention based on severity, spread, trend, project goals and user responsibility.
Related documentation
- arrow_forward
Projsite Intelligence
Modules and metrics
Which Intelligence modules and metrics appear depends on configuration and available data.
- arrow_forward
Projsite Intelligence
Goals, compliance and scope
Goals compare actual performance with intended targets, while Compliance shows whether selected project data meets configured requirements or expected conditions.
- arrow_forward
AI and supporting data
Charlie
Charlie is Projsite’s conversational AI assistant for project information and logistics knowledge.