The Risk Dashboard answers one question: where in our AI portfolio should we focus first? Each app gets a score across six dimensions; the dashboard rolls those into a single number per app and an aggregate per org.Documentation Index
Fetch the complete documentation index at: https://docs.flowx.ai/llms.txt
Use this file to discover all available pages before exploring further.
The six dimensions
| Dimension | What it measures |
|---|---|
| Operational risk | Error rate, latency stability, drift events. |
| Compliance risk | Open compliance gaps weighted by framework severity. |
| Policy risk | Policy violations weighted by severity. |
| Data risk | Sensitivity of data the app handles and exposure. |
| Model risk | Model maturity, provider concentration, vendor dependencies. |
| Governance risk | Stale assessments, missing evidence, owner gaps. |
How scores update
Scores recompute whenever the inputs change: Telemetry inputs update minute-by-minute. Governance inputs (assessments, evidence) update on submit.Reading the dashboard
Start at the org roll-up
Top card shows the org-wide composite plus distribution across the six dimensions. Spikes are where to look first.
Inspect the radar
The radar chart shows which dimension dominates. A high “Policy risk” with low “Operational risk” means the app runs fine but is breaking rules.
Weighting the score
Default weights treat every dimension equally. Most orgs override:| Profile | Typical weighting |
|---|---|
| Financial services | Compliance and policy weighted heavier. |
| Internal-tools team | Operational weighted heavier. |
| Healthcare | Data risk weighted heavier. |
Use cases
Where do we invest in remediation?
The top of the app list is the answer.
Is risk going up or down?
The trendline on the org card shows 30-day movement.
What does the board see?
Export the org roll-up to PDF for governance committee packs.
Which apps are audit-ready?
Sort ascending by Governance risk — lowest scores are best documented.
Related resources
Policies
Policy compliance feeds the Policy risk dimension.
AI Registry
The registry’s data and model tags feed Data risk and Model risk.