business need
A major telecommunications provider with complex capital programmes engaged greyfly.ai to define a structured strategy for adopting Artificial Intelligence in Project Management (AI in PM). Facing rising delivery uncertainty, increasing data complexity, and pressure for financial returns, the organisation recognised that AI could transform forecasting, resourcing, and governance, but only if applied with maturity and precision.
The organisation was under growing pressure to:
- Reduce project cost and schedule overruns
- Enhance decision confidence across delivery portfolios
- Respond to rising complexity without increasing PMO overhead
solution
The Telco company was benchmarked against infrastructure, construction, and energy peers. They are currently stuck at level 1-2 while leading organizations are embedding AI into their forecasting, scheduling, and risk mitigation. This diagnostic confirmed significant ambition but exposed key preconditions to be addressed before any PoC or implementation.
result
“AI isn’t a solution – it’s a journey. And every journey starts with data.”
Director of Major Projects
Strategic Recommendation: Data Maturity First
The single most important insight from this engagement: Do not proceed to PoC or delivery before completing a targeted Data Maturity Assessment.
The assessment will:
- Validate use case feasibility based on real data conditions
- Quantify improvement opportunities in structure, flow, and ownership
- Prevent avoidable rework and failed pilots
This step protects the strategy’s credibility and creates executive assurance around investment.
As well as the agreed 5-phases roadmap, it balanced the prioritised use cases constrained by the maturity/impact grid to show incremental adoption in achievable steps.