Case Studies
Real problems. Proper outcomes.
Examples of how Servable brings structure, control and improvement to technology and operational environments.
What we actually do
Not theory. Real environments, real change.
Each example reflects a common situation we see repeatedly across organisations.
Multi-site organisation
No ownership across systems and suppliers.
The situation
A growing organisation with multiple sites had accumulated systems, suppliers and processes over time. Nobody owned the full environment.
- Different suppliers for network, cloud and support
- Inconsistent user access and permissions
- Poor visibility of issues and performance
- Repeated operational problems with no root cause
What we did
- Defined ownership across systems and suppliers
- Introduced structured monitoring and reporting
- Standardised user access and security controls
- Established regular service review and governance
Outcome
- Clear accountability across the environment
- Reduction in repeat incidents
- Improved visibility for leadership
- Stable platform to support growth
Cyber security
Security existed, but nobody could prove it.
The situation
The organisation believed it was secure but could not evidence controls during audit or insurer review.
- Unclear patching status
- Inconsistent MFA adoption
- No central visibility of devices
- No audit-ready reporting
What we did
- Implemented baseline cyber controls
- Rolled out consistent MFA and endpoint security
- Introduced centralised monitoring
- Created audit-ready reporting and review cadence
Outcome
- Clear evidence of security controls
- Improved insurer and audit position
- Reduced exposure to common threats
- Ongoing visibility of security posture
Cloud & data
Cloud platform had grown without structure.
The situation
Microsoft 365 and cloud services had been adopted quickly but without a clear design or governance model.
- Uncontrolled SharePoint and Teams sprawl
- Inconsistent permissions and data access
- Manual reporting processes
- Lack of ownership across systems
What we did
- Restructured cloud architecture
- Defined access and governance policies
- Introduced automated reporting
- Aligned environment to operational needs
Outcome
- Improved data control and visibility
- Reduced risk of data exposure
- More efficient reporting processes
- Platform ready for future growth
AI & automation
AI usage was happening with zero control.
The situation
Staff were already using AI tools informally, creating risk around data, consistency and compliance.
- Use of personal AI accounts
- Uncontrolled data input
- No defined use cases
- No measurement of benefit
What we did
- Defined AI usage policy
- Introduced approved tools and workflows
- Identified automation opportunities
- Implemented governance and reporting
Outcome
- Safe and controlled AI adoption
- Reduced manual workload
- Improved consistency of outputs
- Measurable productivity gains