Case Studies

Case Study 1 — Cloud Migration Preparation

Industry: E-commerce

Instance size: 280 projects, 450+ custom fields, 6 years on Jira Cloud

Trigger: Platform migration planned; configuration scope unknown

Before

Top Findings

• 312 direct user grants (Access Governance cluster)
• 38% unused custom fields (Configuration Complexity cluster)
• 67% single-project workflow schemes (Workflow Governance cluster)

What Was Done

Configuration Debt Check (Health Check tier) followed by Cleanup & Governance Program.

Workflow families reduced from 94 schemes to 31 shared schemes. Direct user grants replaced with role-based access across all projects. Custom field catalog reduced by 40% — 180 fields removed.

After

Cleanup duration: 8 weeks. Migration completed on schedule. Architecture Health Score improvement: +28 points.

Case Study 2 — AI Automation Readiness

Industry: SaaS

Instance size: 95 projects, 220 custom fields

Trigger: Atlassian Intelligence rollout planned; automation team raised access governance concerns

Before

Top Findings

• 19 site-level automation rules (Automation Governance cluster)
• 16 global rules with mutating actions
• 334 direct user grants (Access Governance cluster)

What Was Done

Configuration Debt Check (Health Check tier) + targeted Quick Wins implementation (3 weeks).

Global automation rules scoped to project-level. Direct user grants replaced with role-based model. Access governance blockers resolved before AI rollout.

After

• Global automation rules reduced from 19 site-level to 4 (remaining 15 scoped to project-level)
• Direct user grants reduced from 334 to 0 — full role-based access model implemented
• Automation rules with hardcoded identities: eliminated
• AI orchestration rollout proceeded with no access governance blockers
• Quick wins delivered in 3 weeks. Architecture Health Score improvement: +11 points.