Board-Level AI Governance Dashboard™ — Quarterly Risk & Compliance Reporting (2026)

BOARD-READY REPORTING Live

Can our Board confidently explain our AI risk posture?

Transform AI security complexity into executive language. Real-time governance scorecard, compliance tracking, and budget justification - all in one view.

Updated: Just now

12 AI Systems Monitored

81 / 100

Overall Governance Score

EU AI Act

142

days until enforcement

Limited Risk

GOOD

Governance

87 /100

+3% this quarter

ATTENTION

Security Testing

68 /100

+7% this quarter

GOOD

Compliance

92 /100

+5% this quarter

CRITICAL

Vendor Risk

43 /100

-8% this quarter

ATTENTION

Monitoring

71 /100

+4% this quarter

Risk Heat Map

Likelihood vs. Impact matrix for AI-related risks

Low

Medium

High

Low Impact

Medium Impact

High Impact

High Likelihood

Medium Likelihood

Model Drift

Prompt Injection

Regulatory Non-Compliance

Low Likelihood

System Outage

Bias Incident

IP Infringement

Compliance Coverage

Framework adherence across 6 key standards

4/6 Active

Overall Compliance Progress 78%

Board Risk Summary

2 CRITICAL

High reliance on third-party AI vendors with limited contractual controls.

Vendor Risk Due: 14 days

Assigned: Sarah Chen

Insufficient runtime monitoring coverage for production AI models.

Monitoring Due: 30 days

Assigned: Mike Ross

AI governance policy framework approved by Legal and Board.

Governance Resolved

Budget Justification

HIGH PRIORITY

Recommended Investment

AI Runtime Monitoring

Risk Reduction

24%

Loss Avoidance

$1.6M

Est. Cost: $180K/year ROI: 789%

Secondary Recommendation MEDIUM

Vendor Risk Assessment Platform

down 18% vendor risk $890K avoidance

Planned (Q4) LOW

AI Red Team Program

down 12% security risk $420K avoidance

Risk Trends (6 Months)

Avg Score

72.2

Trend

4.3%

Volatility

Low

Incident Trends

down 23% YoY

Critical 2

High 5

Medium 12

Vendor Risk Assessment

Third-party AI vendors under review

Vendor	AI Service	Risk Score	Contractual Controls	Data Handling	Status	Monthly Cost
OA OpenAI	GPT-4, Embeddings	62	Limited	Shared	Under Review	$24,500
AZ Azure OpenAI	GPT-4, DALL-E	84	Strong	Private	Approved	$18,200
AN Anthropic	Claude 3	38	None	Unclear	Blocked	$0
HF Hugging Face	Open Source Models	55	Partial	On-Prem	Conditional	$3,400
Total Monthly AI Spend:						$46,100

AI Governance Training

Q2 2026

Board & Executives 100%

12/12 completed • AI Ethics & Liability

Engineering Teams 78%

31/40 completed • Secure AI Development

Legal & Compliance 92%

11/12 completed • EU AI Act Deep Dive

All Employees (Basic) 45%

142/315 completed • AI Awareness

Policy Status

AI Acceptable Use Policy

Approved by Board • v2.1

Active

AI Vendor Assessment Framework

Approved by Legal • v1.3

Active

AI Incident Response Plan

Under Review • v0.9

Review

AI Model Registry & Inventory

Draft • v0.2

Draft

AI Model Registry

Deployed AI systems with real-time health monitoring

Customer Support Bot

Production • High Traffic

ModelGPT-4 Turbo

Versionv2.3.1

Uptime99.97%

Latency142ms avg

Last Deployed2 days ago

Drift Score 0.02 (Stable)

Document Analyzer

Legal & Contracts

ModelClaude 3 Opus

Versionv1.8.2

Uptime99.84%

Latency289ms avg

Last Deployed1 week ago

Drift Score 0.18 (Warning)

Internal HR Assistant

Human Resources

ModelLlama 3 70B

Versionv3.0.0

Uptime99.99%

Latency98ms avg

Last Deployed3 days ago

Drift Score 0.01 (Stable)

Fraud Detection

Finance (High Risk)

ModelCustom XGBoost

Versionv4.2.1

Uptime97.23%

Latency45ms avg

Last Deployed2 weeks ago

Drift Score 0.34 (Critical)

Sales Forecasting

Revenue Operations

ModelProphet + GPT-4

Versionv1.5.0

Uptime99.91%

Latency312ms avg

Last Deployed5 days ago

Drift Score 0.05 (Stable)

Register New Model

Add AI system to governance registry

Action Items & Remediation

Track governance tasks, owners, and deadlines

Action	Category	Owner	Due Date	Priority	Status
Negotiate enterprise agreement with OpenAI Include data privacy and audit rights clauses	Vendor Risk	Sarah Chen	Jun 30, 2026	Critical	In Progress
Deploy runtime monitoring for production models Cover all 5 high-risk AI systems	Monitoring	Mike Ross	Jul 15, 2026	High	Not Started
Complete NIST AI RMF gap assessment Document all 47 control requirements	Compliance	Alex Kim	Aug 01, 2026	High	In Progress
Roll out AI awareness training to all employees Target: 315 employees, currently 142 complete	Training	Emma Wilson	Jul 31, 2026	Medium	In Progress
Retrain Fraud Detection model Drift score 0.34 exceeds threshold of 0.25	Model Ops	David Park	Jun 20, 2026	Critical	Overdue

Action Items & Remediation

Track governance tasks, owners, and deadlines

Action	Category	Owner	Due Date	Priority	Status
Negotiate enterprise agreement with OpenAI Include data privacy and audit rights clauses	Vendor Risk	Sarah Chen	Jun 30, 2026	Critical	In Progress
Deploy runtime monitoring for production models Cover all 5 high-risk AI systems	Monitoring	Mike Ross	Jul 15, 2026	High	Not Started
Complete NIST AI RMF gap assessment Document all 47 control requirements	Compliance	Alex Kim	Aug 01, 2026	High	In Progress
Roll out AI awareness training to all employees Target: 315 employees, currently 142 complete	Training	Emma Wilson	Jul 31, 2026	Medium	In Progress
Retrain Fraud Detection model Drift score 0.34 exceeds threshold of 0.25	Model Ops	David Park	Jun 20, 2026	Critical	Overdue

Cost & Usage Analytics

LLM token spend, budget tracking, and ROI metrics

Monthly AI Spend

$46,100

12% vs last month

Budget Remaining (Q2)

$28,400

18 days left in quarter

Total Tokens (MTD)

2.4B

~$0.019 per 1K tokens

Cost per Request

$0.042

8% optimized

Spend by Vendor

Daily Token Consumption

Department Allocation

Customer Support $18,400 (40%)

Engineering / Dev $11,500 (25%)

Legal & Compliance $6,900 (15%)

Sales & Marketing $5,500 (12%)

HR & Operations $3,800 (8%)