Machine Learning Model Review for a Global Solutions Company

Zeaware Consulting Services was engaged to review and advise on a struggling machine learning anomaly detection solution. Through a structured assessment, ZCS identified process and technical gaps and provided recommendations that enabled production-readiness and long-term maintainability.

✓ Customer Challenge

• A global solutions company faced challenges deploying its anomaly detection ML model into production.
• Inconsistent data caused cascading quality and performance issues.
• Development was hindered by rework, misalignment with business goals, and inefficient collaboration processes.

✓ Solution

• ZCS was engaged to conduct a full review of the current model and development process.
• Performed in-depth analysis of technical architecture, code quality, and development workflows.
• Delivered actionable recommendations to improve documentation, streamline business logic, and align tools with enterprise standards.

✓ Outcome

• Recommendations addressed key technical gaps and improved readiness for production deployment.
• Business rule logic and code performance were optimised, reducing future rework.
• Efforts aligned the tool with enterprise platforms, enhancing maintainability and long-term value.