business need
The organization needed a proactive, AI-driven approach to analyse project data, identify risks early, and improve project success rates. The goal was to reduce cost overruns, increase on-time delivery, and enhance portfolio visibility at the executive level.
Traditional project management methodologies were insufficient in delivering projects on time and within budget. Key challenges included:
- Budget Overruns: 33% of projects exceeded budget by an average of 74%.
- Schedule Delays: 62% of projects experienced an average 63% delay.
- Data Quality Issues: Only 22% of projects maintained consistent, high-quality data.
solution
greyfly.ai deployed the Intelligent Project Prediction (IPP) platform to:
- Analyze historical project data and extract key risk indicators.
- Predict project outcomes with high accuracy early in the project lifecycle.
- Enable executive decision-making by identifying at-risk projects before issues escalate.
- Prioritize project interventions based on data-driven insights.
result
“6.4% Portfolio Cost Savings: Optimized cost control, identifying major areas for efficiency gains.”.
- 90% Accuracy: Achieved an unprecedented prediction accuracy rate, revolutionizing planning and risk management.
- 22% → 91% Data Maturity Increase: Improved project data quality, enabling smarter decision-making.
- Operational Efficiency Gains: Reduced delays and improved executive oversight, contributing to overall business performance and project outcomes.
- Sustainability Impact: Reduced project failures and resource wastage, aligning with environmental objectives.
