Reliability
Reduce incidents, downtime, and recurring problems.
- Incident count
- Downtime · Repeat incident rate

Improve managed IT services across Asia Pacific with shared standards, root cause analysis, and automation. Reduce repeat incidents and keep support consistent across locations.
WHAT QUALITY MEANS
Shared measures help our Asia Pacific teams track performance, maintain consistent support, and prioritize improvements across locations.
Reduce incidents, downtime, and recurring problems.
Identify issues early, assess impact, and restore service faster.
Use clear procedures and shared knowledge to deliver consistent support across teams.
Use service data to prioritize process changes and automation.
SERVICE IMPROVEMENT PROCESS
Our continual service improvement process turns operational data into practical changes, with results reviewed before wider rollout.
Review tickets, incidents, time spent, and network traffic to identify service gaps.
Investigate why incidents happen and recur, including underlying process and system issues.
Update procedures, knowledge, and responsibilities. Automate suitable tasks to address recurring issues.
Compare results before and after each change. Apply effective improvements to other teams and locations where relevant.
QUALITY MANAGEMENT
Clear targets, accountable owners, and regular reviews help teams across Asia Pacific improve services consistently while respecting local requirements.
Define service measures and targets so teams know what success looks like.
Assess performance, incident trends, open issues, and improvement results.
Track each action, its owner, and its due date through to completion.
Build effective changes into procedures, knowledge articles, training, and tools.
Monthly reviews track root causes, actions, results, and outstanding work to keep IT operations optimization moving forward.
IMPROVEMENT IN PRACTICE
Our approach to IT operations automation supports continuous improvement across Asia Pacific. These examples show the changes and results.
Staff sent completion notifications manually.
Automated notifications with Power Automate.
Saved 200 minutes per month.
Configuration errors triggered support requests.
Built a tool to automatically check and correct settings.
Enabled users to resolve more issues themselves.
Staff collected and checked logs manually.
Automated log collection and analysis every 10 minutes with Python.
Reduced manual checks and maintained ongoing visibility.
Time saved through automation gives teams more capacity for analysis, problem-solving, and further improvement.
We have compiled FAQ regarding our KAIZEN and quality improvement initiatives.
We check the number of incidents, downtime, initial response time, MTTR, recurrence rate, procedure compliance, and number of improvements implemented, from the four perspectives of stability, speed, accuracy/reproducibility, and continuous improvement.
We visualize operational data, identify structural causes through RCA, implement permanent measures such as procedure standardization and automation, and verify the improvement effects.
By clarifying KPIs, target values, responsible persons, and deadlines, and incorporating monthly reviews and improvement proposals into daily management processes, we create a system that can be sustained as an organization.
We can target repetitive routine tasks and operations prone to human error, such as approvals, completion notifications, checking and correcting configuration states, and periodic log collection and analysis.
We compare before and after improvements in terms of incident count, downtime, recurrence rate, work time, and number of inquiries; effective measures are established as standard operations and, when necessary, rolled out to other areas.