Governance Dashboard | TrustRail - AI Governance Structure & Oversight

Why AI Governance Structure Matters

The Problem with Unclear Governance:

• No Accountability: When AI issues arise, unclear who's responsible
• Siloed Decision-Making: AI deployed without leadership oversight
• Compliance Failures: No governance body to ensure regulatory adherence
• Audit Failures: ISO 42001 requires documented governance structure

GSA Playbook Solution:

• Clear Accountability: RACI matrix defines roles and responsibilities
• Executive Oversight: Board-level AI governance committee established
• Documented Structure: Org charts, charters, decision authority mapped
• Audit-Ready: ISO 42001 Section 5 compliance from day 1

Real-World Governance Failures:

Tech Company - Facial Recognition:

"Our engineering team deployed facial recognition for employee access. Marketing used it for customer tracking. Legal had no idea. Regulators fined us for no governance oversight. No one knew who approved what."

Issue: No AI governance committee, unclear approval authority

Banking - Model Risk:

"Auditors asked who's accountable for AI risk. We had 5 different people claim responsibility but no one actually owned it. Failed ISO 42001 audit on governance requirements."

Issue: Unclear accountability, no documented RACI

Regulatory Requirements for AI Governance:

•

ISO 42001 Section 5: Top management shall demonstrate leadership and commitment. Must establish AI management system roles, responsibilities, and authorities. Governance structure must be documented.

•

NIST AI RMF GOVERN 1.3: Accountability structures are in place so that the appropriate teams are responsible for decisions about and impacts of AI systems. Clear escalation paths documented.

•

EU AI Act (Implied): While not explicitly stated, Articles 16-17 require provider accountability, implying governance structure for oversight.

What You Get

Complete AI governance infrastructure

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Organizational Structure

✓ AI governance committee charter
✓ Org chart with AI accountability
✓ Escalation paths defined
✓ Decision authority matrix
✓ Reporting lines documented

✅

RACI Matrix

✓ Responsible parties identified
✓ Accountable owners assigned
✓ Consulted stakeholders mapped
✓ Informed parties documented
✓ No gaps or overlaps

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Policy Framework

✓ AI governance policy
✓ Risk acceptance authority
✓ Approval workflows
✓ Committee meeting cadence
✓ Board reporting templates

Implementation Timeline

1

Week 1: Assessment

Current state analysis, stakeholder interviews, gap identification

2

Week 2: Design

Governance structure design, RACI creation, charter development

3

Week 3: Launch

Committee kickoff, documentation finalized, training completed

Why TrustRail is Different

AI-specific governance vs generic IT governance

Capability	Generic IT Governance	TrustRail (GSA Playbook)
Governance Focus	❌ IT steering committee No AI-specific oversight	✓ AI governance committee Dedicated to AI ethics, risk, compliance
Accountability Structure	❌ CTO/CIO owns technology Doesn't cover AI fairness, bias, explainability	✓ RACI covers all AI domains Technical, ethical, legal, operational
Documentation	❌ Generic org charts Not structured for ISO 42001 audits	✓ ISO 42001 Section 5 compliant Audit-ready governance documentation
Decision Authority	❌ Unclear for AI use cases Who approves high-risk AI deployment?	✓ Clear approval workflows Risk-based approval matrix documented
Executive Visibility	❌ AI risks buried in IT reports Board doesn't see AI-specific issues	✓ Board-level AI reporting Executive dashboard, quarterly reviews
Setup Time	❌ 6-12 months to design Build governance framework from scratch	✓ 4-6 weeks with expert facilitation Pre-built governance templates

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GSA Playbook Methodology

Built for ISO 42001 Section 5, not generic IT governance

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AI-Specific RACI

Covers technical, ethical, legal, and operational domains

⚡

2-3 Week Setup

Expert facilitation, stakeholder workshops, documentation

How Governance Dashboard Works

GSA Playbook guides comprehensive governance structure design

Governance Design Process

Our GSA Playbook establishes AI governance structure:

Current State Assessment

Interview stakeholders, identify existing governance gaps

Organizational Design

Define AI governance committee, charter, meeting cadence

RACI Development

Map roles, responsibilities, decision authority across AI lifecycle

Policy Framework

Create governance policies, approval workflows, escalation paths

Launch & Training

Committee kickoff, stakeholder training, documentation handoff

Deliverables

Our GSA Playbook produces audit-ready governance documentation:

✓ Governance Committee Charter

Purpose, scope, membership, meeting cadence, decision authority

✓ RACI Matrix

Comprehensive responsibility assignment across AI lifecycle

✓ AI Governance Policy

Approval workflows, risk acceptance authority, escalation paths

✓ Organizational Charts

AI accountability mapped to org structure

💡 All documentation structured per ISO 42001 Section 5 requirements

2 Compliance Checks Addressed

ISO 42001 (1 check)

ISO-003: Organizational Roles & Responsibilities

Section 5.3 - AI management system roles, responsibilities, and authorities

NIST AI RMF (1 check)

NIST-008: Accountability Structures (GOVERN 1.3)

Teams responsible for AI decisions and impacts documented

GSA Playbook Structure

Governance Structure Assessment methodology

Playbook Components

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Governance Templates

Committee charters, RACI matrices, policy frameworks
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Stakeholder Workshop Guides

Facilitation materials for governance design sessions
✓

ISO 42001 Mapping

Section 5 requirements mapped to deliverables
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2 Compliance Requirements

ISO-003, NIST-008
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Board Reporting Templates

Executive dashboards, governance updates

Why GSA Works

✓
ISO 42001 Section 5 Compliant: Documentation matches audit requirements
✓
NIST AI RMF Aligned: Accountability structures per GOVERN function
✓
Expert Facilitation: Governance consultants guide workshop process
✓
Practical & Actionable: Not theoretical frameworks - actual operating procedures