📊 From Point-in-Time Audits to Continuous Compliance Get Your Scorecard →
2) Continuous Compliance Scoring 📚 MCP Playbook (Model Card Completeness) 6 Compliance Checks
📈

AI Compliance Scorecard

Real-time compliance tracking across EU AI Act, ISO 42001, NIST AI RMF, and NYC LL144

6
Compliance Checks
4
Frameworks
MCP
Professional Playbook
24/7
Live Dashboard

Why Continuous Compliance Scoring?

The Problem with Point-in-Time Audits:

  • • Unknown Status: Compliance posture unknown between annual audits
  • • No Early Warning: Issues discovered too late, after non-compliance
  • • Executive Blind Spots: Leadership can't track progress in real-time
  • • Resource Waste: Scrambling before audits, idle periods between

MCP Playbook Solution:

  • • Real-Time Visibility: Know your compliance posture 24/7
  • • Trend Analysis: See if you're improving or regressing
  • • Executive Dashboard: Board-ready metrics and reporting
  • • Proactive Governance: Fix issues before they become violations

Real-World Compliance Challenges:

Banking:

"We passed our ISO 42001 audit in January, but by June we had deployed 15 new AI models. Are we still compliant? We have no idea until the next audit."

Risk: Operating non-compliant AI for 6+ months

HR Technology:

"NYC LL144 requires annual bias audits. Between audits, we changed our training data. Did our bias metrics get worse? We won't know until next year's audit."

Risk: Deploying biased AI unknowingly

Regulatory Drivers:

•
EU AI Act Article 61: Providers must have post-market monitoring systems. A compliance scorecard demonstrates ongoing oversight.
•
ISO 42001 Section 9.3: Management review requires performance metrics. Scorecard provides required data.
•
NIST AI RMF MEASURE 4.1: Continuous monitoring of AI system performance and compliance.

What You Get

Complete compliance visibility across all frameworks

📊

Overall Compliance Score

  • ✓ Portfolio-level score (0-100)
  • ✓ Trend over time (improving/declining)
  • ✓ By framework (EU, ISO, NIST, NYC)
  • ✓ By AI system (individual scores)
  • ✓ By business unit (organizational view)
🚨

Critical Issues Dashboard

  • ✓ High-risk gaps surfaced immediately
  • ✓ Regulatory exposure quantified
  • ✓ Remediation priorities ranked
  • ✓ Action tracking and assignment
  • ✓ Deadline management
📈

Executive Reporting

  • ✓ Board-ready visuals and metrics
  • ✓ Progress tracking (month-over-month)
  • ✓ Benchmark comparisons (industry)
  • ✓ Export capabilities (PDF, PPT)
  • ✓ Scheduled report delivery

Implementation Timeline

1

Week 1: Baseline

Initial compliance assessment, establish baseline scores

2

Week 2: Integration

Connect data sources, configure dashboards, set thresholds

3

Ongoing: Live Tracking

Real-time updates, automated alerts, continuous monitoring

Why TrustRail is Different

Professional compliance tracking vs generic dashboards

Capability Generic Dashboards TrustRail (MCP Playbook)
Framework Coverage ❌ Generic compliance metrics
Not tied to specific regulations 		✓ EU AI Act, ISO 42001, NIST, NYC LL144
Exact regulatory requirements tracked
Scoring Methodology ❌ Black box algorithm
Can't explain scores to auditors 		✓ MCP Playbook transparent scoring
Every score ties to specific requirement
Data Collection ❌ Manual entry or API integration
Inconsistent, error-prone 		✓ Guided assessment process
Structured data collection ensures accuracy
Issue Detection ❌ Basic threshold alerts
No context or remediation guidance 		✓ Intelligent risk surfacing
Prioritized with remediation steps
Executive Reporting ❌ Basic charts and graphs
Requires manual formatting for board 		✓ Board-ready reports from day 1
Professional templates included
Time to Value ❌ 3-6 months to configure
Custom development required 		✓ 1-2 weeks to live scorecard
Pre-built for AI compliance
📚

MCP Playbook Foundation

Built on professional Model Card Completeness methodology, not generic metrics

🎯

Regulatory-First Design

Every metric maps to specific EU AI Act, ISO 42001, NIST, or NYC requirement

⚡

1-2 Week Launch

Professional services establish baseline, configure dashboards, train team

How AI Compliance Scorecard Works

MCP Playbook provides structured compliance tracking methodology

Scoring Process

Our MCP Playbook guides systematic compliance assessment:

Baseline Assessment

Evaluate current compliance posture across all frameworks using structured criteria

Continuous Data Collection

Ongoing inputs from model cards, assessments, audits, and monitoring systems

Automated Scoring

Calculate compliance scores based on completion and quality of requirements

Trend Analysis

Track changes over time, identify patterns, predict future compliance status

Executive Reporting

Generate board-ready dashboards and reports showing compliance posture

Professional Dashboard Experience

Our MCP Playbook delivers executive-ready compliance visibility:

✓ Portfolio-Level Metrics

Overall compliance score, breakdown by framework, trend indicators

✓ System-Level Detail

Individual AI system scores, risk levels, compliance status per requirement

✓ Critical Issues Surfaced

High-priority gaps highlighted with remediation guidance and ownership

💡 Every metric ties directly to regulatory requirements with clear audit trail

6 Compliance Checks Addressed

EU AI Act (2 checks)

EU-007: Technical Documentation Readiness
Annex IV - Documentation completion tracking
EU-016: Conformity Assessment Readiness
Article 43 - Assessment status tracking

ISO 42001 (3 checks)

ISO-008: AI Objectives, KPIs & Success Metrics
Section 6.2 - Performance measurement
ISO-010: AI Lifecycle Controls & Model Documentation
Section 8.1 - Operational controls tracking
ISO-015: Management Review
Section 9.3 - Executive oversight tracking

NIST AI RMF (1 check)

NIST-011: Continuous Monitoring (MEASURE 4.1)
AI system monitoring and measurement

MCP Playbook Structure

Professional methodology for compliance tracking

Playbook Components

  • 📖
    Comprehensive Framework Coverage
    Model Card Completeness methodology across all standards
  • 📋
    Structured Assessment Process
    Systematic evaluation of compliance requirements
  • ✓
    Scoring Methodology
    Transparent calculation tied to regulatory requirements
  • 🎯
    6 Compliance Requirements Mapped
    Every metric tied to specific regulation
  • 📊
    Dashboard Templates
    Executive-ready reporting included

Why MCP Works

  • ✓
    Proven in Production: Used by financial services institutions for real compliance tracking
  • ✓
    Auditor-Approved: Methodology accepted by compliance auditors and regulators
  • ✓
    Framework-Specific: Not generic compliance - built for EU AI Act, ISO 42001, NIST, NYC LL144
  • ✓
    Continuously Updated: Playbook evolves with regulatory changes

Sample Outputs: Portfolio compliance score, framework-specific dashboards, critical issues list, trend analysis reports, executive summaries

Pricing

Choose the option that fits your needs

Platform Only

$2,500
per month
  • ✓ Self-service scorecard configuration
  • ✓ Standard dashboard templates
  • ✓ 4-6 weeks DIY setup
  • ✓ Online documentation
  • ✓ Email support
Get Started
RECOMMENDED

Platform + Services

$15,000+
one-time setup
  • ✓ Professional baseline assessment
  • ✓ Custom dashboard configuration
  • ✓ 1-2 weeks to live scorecard
  • ✓ Team training included
  • ✓ Ongoing platform access ($2,500/mo)
Schedule Consultation

Enterprise

Custom
pricing
  • ✓ Multi-business unit deployment
  • ✓ Custom framework integration
  • ✓ Dedicated success manager
  • ✓ Priority support
  • ✓ Quarterly business reviews
Contact Sales

Ready for Real-Time Compliance Visibility?

Get your AI Compliance Scorecard in 1-2 weeks

sales@trustrail.ai