📂
Process Drifts
Delivery pressure led to process drifts and feature deviations going unnoticed.
💻
Inconsistent Standards
Difficulty in tracking code standards consistently across all teams.
🔍
Feature Drifts
Requirements and build plans consistently diverged from agreed benchmarks during sprints
Cubyts was deployed as an observability tool to provide a "mirror" reflecting the true state of their software delivery lifecycle.
Existing Infrastructure
Data-Driven Decisions
The adoption of Cubyts delivered significant, quantifiable improvements in efficiency, alignment, and cost savings almost immediately.
Feature Drifts Detected
400+
within the first 3 months
Feature Drifts Resolved
200+
150+ auto resolved
Person-Hours Saved
1600+
in discovery & resolution efforts
This case highlights critical lessons for managing large-scale, SoW-based projects in today's fast-paced environment.
Early Detection is Key
In high-scale IT services, identifying feature drifts early directly reduces rework, minimizes costs, and mitigates contract risks.
Automation Accelerates Recovery
Auto-resolution capabilities significantly accelerate recovery from deviations, saving measurable time and freeing up development teams.
Visibility Builds Confidence
Real-time dashboards give leadership confidence in project alignment and progress without disrupting team workflows.