fix: Correct broken relative links in governance templates and glossary

- ai-implementation-roadmap.md: 4 links to safe-ai-adoption-getting-started
  now use ../business-resources/ prefix
- ai-change-management.md: 2 links to safe-ai-adoption-getting-started
  now use ../business-resources/ prefix
- glossary.md: 5 links to governance-templates now use ../ prefix

Flagged by Technical Maintainer health report (2026-04-13).

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

Author: agent-ptolemy

docs/governance-templates/ai-change-management.md

@@ -248,7 +248,7 @@ Monitor:
 Change management doesn't happen in isolation. It needs to connect to:
 
 **Before you start:**  
-Review [Safe AI Adoption - Getting Started](safe-ai-adoption-getting-started.md) to choose appropriate first use cases and avoid common mistakes.
+Review [Safe AI Adoption - Getting Started](../business-resources/safe-ai-adoption-getting-started.md) to choose appropriate first use cases and avoid common mistakes.
 
 **Vendor selection:**
 See [AI Vendor Evaluation Checklist](ai-vendor-evaluation-checklist.md) – vendor support quality matters enormously for change management success.
@@ -275,7 +275,7 @@ See [AI Implementation Roadmap](ai-implementation-roadmap.md) for practical guid
 
 ## Further Resources
 
-- 🎯 [Safe AI Adoption - Getting Started](safe-ai-adoption-getting-started.md)
+- 🎯 [Safe AI Adoption - Getting Started](../business-resources/safe-ai-adoption-getting-started.md)
 - 📋 [AI Vendor Evaluation Checklist](ai-vendor-evaluation-checklist.md)
 - 🗺️ [AI Implementation Roadmap](ai-implementation-roadmap.md)
 - 📊 [AI Project Register Template](../governance-templates/ai-project-register.md)

docs/governance-templates/ai-implementation-roadmap.md

@@ -65,7 +65,7 @@ Each stage has clear objectives, typical timeframes, and "what done looks like"
 ### What to do
 
 - **Identify 2-3 low-risk, high-learning use cases:**
-    - Review [Safe AI Adoption - Getting Started](safe-ai-adoption-getting-started.md) for good first uses
+    - Review [Safe AI Adoption - Getting Started](../business-resources/safe-ai-adoption-getting-started.md) for good first uses
     - Choose cases that are reversible and low-stakes
     - Pick at least one that builds resilience, not just cuts cost
 
@@ -212,7 +212,7 @@ At the end of Stage 2, you should have:
 - **Prioritise defensive and resilience use cases:**
     - Now that you've learned from productivity use cases, consider defensive ones
     - Security operations support, fraud detection, risk and compliance assistance
-    - See [Safe AI Adoption - Getting Started](safe-ai-adoption-getting-started.md) for resilience-focused uses
+    - See [Safe AI Adoption - Getting Started](../business-resources/safe-ai-adoption-getting-started.md) for resilience-focused uses
 
 - **Track organisation-level metrics:**
     - Monitor across four dimensions:
@@ -299,7 +299,7 @@ In the continuous improvement stage, you should have:
 
 ## Your next steps
 
-**Haven't started pilots?** Review [Safe AI Adoption - Getting Started](safe-ai-adoption-getting-started.md), complete [AI Readiness Checklist](../governance-templates/ai-readiness-checklist.md), set up [AI System Register](../governance-templates/ai-project-register.md) and evaluate vendors using [AI Vendor Evaluation Checklist](ai-vendor-evaluation-checklist.md).
+**Haven't started pilots?** Review [Safe AI Adoption - Getting Started](../business-resources/safe-ai-adoption-getting-started.md), complete [AI Readiness Checklist](../governance-templates/ai-readiness-checklist.md), set up [AI System Register](../governance-templates/ai-project-register.md) and evaluate vendors using [AI Vendor Evaluation Checklist](ai-vendor-evaluation-checklist.md).
 
 **Running pilots now?** Confirm clear success criteria and exit conditions. Collect feedback weekly. Review [AI Change Management](ai-change-management.md). Update your system register.
 
@@ -324,7 +324,7 @@ In the continuous improvement stage, you should have:
 
 ## Further Resources
 
-- 🎯 [Safe AI Adoption - Getting Started](safe-ai-adoption-getting-started.md)
+- 🎯 [Safe AI Adoption - Getting Started](../business-resources/safe-ai-adoption-getting-started.md)
 - 🔄 [AI Change Management](ai-change-management.md)
 - 📋 [AI Vendor Evaluation Checklist](ai-vendor-evaluation-checklist.md)
 - 📊 [AI Project Register Template](../governance-templates/ai-project-register.md)

docs/resources/glossary.md

@@ -34,16 +34,16 @@ Computer systems that perform tasks normally requiring human intelligence. In Au
 Voluntary principles from the Australian Government that set practical expectations for safe and responsible AI. They help organisations align practice with community standards and emerging regulation.
 
 ## AI Incident
-Any harmful, biased, unsafe or unexpected behaviour from an AI system (e.g., discriminatory outputs, privacy breaches, safety risks). Log and review with an [AI Incident Report](governance-templates/ai-incident-report-form.md).
+Any harmful, biased, unsafe or unexpected behaviour from an AI system (e.g., discriminatory outputs, privacy breaches, safety risks). Log and review with an [AI Incident Report](../governance-templates/ai-incident-report-form.md).
 
 ## AI Inventory (System Register)
 A catalogue of AI systems and use cases across the organisation, including owners, purpose, data sources, risks and status. Supports accountability and audits.
 
 ## AI Risk Assessment
-A structured process to identify, analyse and mitigate risks for AI systems and use cases. Often mapped to ISO/IEC 42001 (management systems) or ISO/IEC 23894 (risk management). Start with the [AI Risk Assessment Template](governance-templates/ai-risk-assessment-checklist.md).
+A structured process to identify, analyse and mitigate risks for AI systems and use cases. Often mapped to ISO/IEC 42001 (management systems) or ISO/IEC 23894 (risk management). Start with the [AI Risk Assessment Template](../governance-templates/ai-risk-assessment-checklist.md).
 
 ## AI Use Policy
-An internal policy that sets boundaries, roles and responsibilities for AI tools. Defines acceptable use, prohibited use, data handling and incident escalation. See the [AI Use Policy Template](governance-templates/ai-use-policy.md).
+An internal policy that sets boundaries, roles and responsibilities for AI tools. Defines acceptable use, prohibited use, data handling and incident escalation. See the [AI Use Policy Template](../governance-templates/ai-use-policy.md).
 
 ## Algorithmic Impact Assessment (AIA)
 An assessment of potential impacts (e.g., fairness, safety, human rights). In Australia this is often paired with a Privacy Impact Assessment (PIA) where personal information is processed.
@@ -166,13 +166,13 @@ A specific category of personal information as defined in the **Privacy Act 1988
 Use of unapproved AI tools by staff. Mitigate through clear policy, training, approved toolkits and monitoring.
 
 ## Template Library
-A collection of standardised documents (policy, risk, incident, vendor, register) to support safe AI adoption. See the [Template Library](governance-templates/policy-template-library.md).
+A collection of standardised documents (policy, risk, incident, vendor, register) to support safe AI adoption. See the [Template Library](../governance-templates/policy-template-library.md).
 
 ## Transparency
 Clarity about how an AI system works, what data it uses and how decisions are made. Supports accountability, trust and compliance.
 
 ## Vendor Due Diligence (AI)
-Assessing third-party AI tools for security, privacy, reliability and compliance. Use the [AI Vendor Evaluation Checklist](governance-templates/ai-vendor-evaluation-checklist.md).
+Assessing third-party AI tools for security, privacy, reliability and compliance. Use the [AI Vendor Evaluation Checklist](../governance-templates/ai-vendor-evaluation-checklist.md).
 
 ---