Overview

F-01–F-04, F-07
Portfolio-level snapshot across every evaluated use case, plus a drill-down into whichever intake is selected from "My AI Governance List" below. The drill-down reuses the same risk/Playbook card used elsewhere — it is not a duplicate feature, it's the same component surfaced in context.
1 Risk Distribution
2 Recent Activity
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3 Top AI Systems by Risk
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4 System Quality Telemetry — not built

This project intentionally does not display groundedness/hallucination/latency metrics here — those require production LLM traffic this portfolio project doesn't have. See Section 06A in the PRD for the two metrics that are actually measured.

5 My AI Governance List
Total list
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Active
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Completed
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↓ Selected intake — reuses the Playbook engine (F-07)

Select a use case above.

New Intake

F-01, F-02, F-03
Add your own scenario — no coding required. Submitting runs the same 8-factor scoring, Playbook, and policy logic as every seeded example, right here in the browser.
ℹ Policy narrative below is illustrative static text — this static demo doesn't call a live LLM. The Python backend on GitHub does, with your own API key.
AI Analysis Summary
Run the workflow at left to see the analysis →

Risk Assessment

F-02
Browse the risk profile of any past intake. This is a history/browse surface, distinct from Overview's embedded snapshot and New Intake's live run — but it deliberately reuses the same analysis card so the output never looks different depending on where you view it.
1 My AI Governance List
Select a use case above to view its risk assessment.

Audit Trail

F-04
Every assessment logged with its most recent MCP gate action, level, and owner.
Use caseActionLevelOwner
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Not yet built: dual sign-off for High-risk use cases; PDF export (P1, Phase 2 — F-04).

Playbooks

F-07
Risk score translated into a control checklist, owner, and review cadence. Deterministic code, not an LLM call.
Select a use case above.