Despite decades of investment in governance frameworks, project controls, and Construction Industry Institute (CII) best practices, CAPEX predictability has not materially improved across most capital portfolios. In this webinar, we examine why predictability continues to break down even on well-planned projects, and why selective, expert-dependent assurance models are structurally incapable of delivering measurable improvement at portfolio scale. Drawing on CII research, industry benchmarking, and real-world experience, we introduce the Project Assurance Coverage Model - a decision-support tool that helps owners quantify where CAPEX risk is concentrated across the portfolio and deploy assurance strategically to improve predictability and reduce asset production risk.
Despite decades of investment in governance frameworks, project controls, and Construction Industry Institute (CII) best practices, CAPEX predictability has not materially improved across most capital portfolios. In this webinar, we examine why predictability continues to break down even on well-planned projects, and why selective, expert-dependent assurance models are structurally incapable of delivering measurable improvement at portfolio scale. Drawing on CII research, industry benchmarking, and real-world experience, we introduce the Project Assurance Coverage Model - a decision-support tool that helps owners quantify where CAPEX risk is concentrated across the portfolio and deploy assurance strategically to improve predictability and reduce asset production risk.