Executive cockpit
Northstar Commerce AI underwriting workbench
A portfolio-level view from AI system inventory to seven-risk assessment, AI Asset Value, AI Value at Risk, Control-Adjusted Exposure, loss scenarios, coverage mapping, risk transfer, and underwriting readiness.
Insurance posture
C
Improves to Grade B after remediation.
InclusionScore
AI Asset Value
$36,300,000
Investment represented by AI systems
AI Value at Risk
$192,381,544
Economic value potentially affected
Control-Adjusted Exposure
$114,508,790
Remaining modeled exposure
Readiness after controls
84/100
Grade B placement story
Overall InclusionScore
59/100
Procurement Agent before remediation
Total AI Asset Value
$36,300,000
Economic investment in AI systems
Total AI Value at Risk
$192,381,544
Economic value potentially affected
Control-Adjusted Exposure
$114,508,790
Modeled exposure after controls
Insurance Readiness
Grade C
Current broker-demo posture
Expected Annual Loss
$934,597
Indicative, not actuarial certification
Number of AI Systems
5
Northstar Commerce risk register
High Risk Systems
0
Require remediation plan
Governance Maturity
Level 3
Evidence readiness scale
Seven AI-native risks
Procurement Agent risk posture
High-risk classes stand out immediately for the broker discussion. Scores are exposure estimates; lower is better.
ARAR
Autonomous Resource Allocation Risk
61
AEDR
Autonomous Economic Decision Risk
66
AOFR
Autonomous Operational Failure Risk
51
IPER
Intellectual Property Exposure Risk
49
PDER
Personal Data Exploitation Risk
40
AICR
AI Concentration Risk
67
ILR
Informational Labor Risk
48
Risk distribution
Portfolio risk levels across seeded Northstar systems.
AI economic dependency
Economic activity influenced by each AI system.
Before / after risk movement
Broker controls reduce the most placement-sensitive risk classes.
Recent assessment activity
Evidence trail prepared for executive and underwriter review.
Control remediation progress
6 recommended controls identified; 4 ready for evidence collection.
Systems requiring underwriting evidence
Broker packet ready| System | Business unit | Autonomy | Risk | Dependency |
|---|---|---|---|---|
| Procurement Agent | Procurement | Approve | High | $50M purchasing influenced |
| Customer Support Agent | Customer Operations | Execute | Moderate | $18M service cost controlled |
| Marketing Content Generator | Growth | Draft | Moderate | $9M revenue influenced |
| Accounts Payable Agent | Finance | Recommend | High | $22M payments processed |
Insurance-readiness signal
Procurement Agent readiness
C → B
High ARAR and AEDR exposure improves after dual approval, spending caps, velocity monitoring, kill switch, model fallback, and quarterly audit.
Before controls
59/100 · $934,597 expected loss
After controls
84/100 · $253,834 expected loss