AI is powering a new approach to Project Management
Our solutions span the key components of implementing AI in project management:
Prepare
Supporting organisations to define their AI in Project Management adoption strategy, assess their PMO and data maturity, and align technical and delivery capabilities
Our solutions span the key components of implementing AI in project management:
Predict
Deploying greyfly.ai’s Intelligent Project Prediction (IPP) to deliver measurable improvements in forecasting accuracy, delivery success rates, and project decision quality
Our solutions span the key components of implementing AI in project management:
Unlock
Converting knowledge, insights, and expert content into intelligent compliance, lessons, and best practices that drive improved portfolio performance
Our solutions span the key components of implementing AI in project management:
Optimise
Identifying opportunities, lessons, risks, and patterns across delivery portfolios to proactively optimise time, cost, and outcome alignment at scale
Why AI in Project Management?
Enhance risk management and decision making to enable delivery of projects faster and at a lower cost.
1. Predicting accurate project outcomes to enable your projects take most efficient route to delivery
3. Enhance resource utilisation through focused allocation
2. Focus on higher value analytical tasks and not administration
4. Keep up with other companies in your sector are likely to be considering their strategy