GRC Scenario Runner

Run a vendor / AI tool review through intake, evidence validation, control mapping, risk routing, and dashboard impact.

This is a demo harness. The point is to show behavior: what passes, what fails, what becomes high risk, and how the result changes the dashboard.

Choose Scenario

Positive Run Pass

Low-risk vendor, limited internal metadata, clean evidence, least-privilege integration.

Data Validation Error Exception

Questionnaire answer conflicts with evidence. The workflow opens an exception and asks for remediation.

High-Risk Submission High Risk

AI-enabled vendor touches customer data, broad permissions, and unresolved evidence gaps.

Submit Your Own

Vendor / Tool Name

Data Type

AI Usage

Integration / Permissions

Evidence Status

Talk track: “I’m not claiming the prototype saves money. I’m showing how events become metrics, metrics become risk decisions, and risk decisions become cost and remediation visibility.”

Review Result

Pass

Risk Tier

Low

Evidence Health

96%

Manual Cost

$213

Cycle Time

1.2d

Run Output

Control Framework Mapping

Control Area	Example Requirement	Evidence	Status

Risk Register / Remediation Payload

Dashboard Impact

Metric	Before	After Run	Interpretation