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AI Adoption Phase
AI in Project Management
Preparing for Predictive Success in Project Delivery
A major telecoms provider partnered with greyfly.ai to shape a structured strategy for adopting Artificial Intelligence in Project Management. Facing rising delivery uncertainty, data complexity, and financial pressure, the company sought to improve forecasting, resource management, and governance. Benchmarking against industry peers revealed strong ambition but also highlighted critical data maturity gaps that needed addressing before any proof of concept or large-scale implementation. Download the case study to see how greyfly.ai enabled the telecoms organisation to achieve these results.
Key Outcomes:
- Positioned data maturity as the foundation for AI
- Benchmarked PMO against industry peers
- Flagged risks of pilots without data readiness
- Outlined phased AI adoption roadmap
- Strengthened executive confidence with clear guidance


AI in Project Management
Preparing for Predictive Success in Project Delivery
A major telecoms provider partnered with greyfly.ai to shape a structured strategy for adopting Artificial Intelligence in Project Management. Facing rising delivery uncertainty, data complexity, and financial pressure, the company sought to improve forecasting, resource management, and governance. Benchmarking against industry peers revealed strong ambition but also highlighted critical data maturity gaps that needed addressing before any proof of concept or large-scale implementation. Download the case study to see how greyfly.ai enabled the telecoms organisation to achieve these results.
Key Outcomes:
- Positioned data maturity as the foundation for AI
- Benchmarked PMO against industry peers
- Flagged risks of pilots without data readiness
- Outlined phased AI adoption roadmap
- Strengthened executive confidence with clear guidance