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AI‑Driven SoW Drift Resolution for a Leading IT Services Company

1500+ person‑hours saved in just 3 months

A leading IT services company deployed Cubyts as a real‑time governance layer, ensuring SoW commitments stayed in sync with execution—resolving drift before it caused rework and saving over 1,500 person‑hours in a single quarter.

The Challenge: A Disconnect Between Contract and Delivery

The client, a large IT services firm, was struggling with project drifts that created downstream surprises, increased rework, and risked contractual misalignment across multiple SoW-based projects.

📎
Lack of Sync

SoW commitments failed to reflect in day-to-day delivery plans, creating a gap between promise and execution.

🔎
Lack of Visibility

Scope creep and shifting resources caused downstream surprises, impacting timelines and budgets unpredictably.

🕪
Feature Drifts

Requirements and build plans consistently diverged from agreed benchmarks during sprints

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The Solution: An AI-Powered Observability Layer

Cubyts was deployed as an intelligent layer between the contract and execution, providing automated detection, analysis, and resolution of drifts in real-time.

SoW & Project Repositories

Source of Truth

Cubyts Layer

AI-Powered Observability & Resolution

Automatic Plan Sync: Execution plans generated from SoW.
Real-time Deviation Detection: Flags shifts in scope, time & resources.
Feature Drift Analysis: Compares build plans to benchmarks.
Continuous Code Monitoring: Ensures clean, production-ready code.

Aligned Execution

Delivery Matches Contract

The Impact: Measurable Results in 90 Days

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

“With Cubyts, we finally get real‑time visibility into every project’s progress against the SoW. Automated resolutions in the background mean fewer manual interventions and far fewer delivery surprises.”

— Delivery Head, Global IT Services Provider

Key Takeaways for IT Leaders

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.