Using AI for Project Risk: From Red Flags to Real Time Foresight

Project risk rarely shows up where or when you expect it. By the time issues surface in reports, margins are already impacted and delivery timelines are at risk. Traditional project risk management relies on lagging indicators, leaving teams reacting instead of preventing.

In this webinar, Velosio shows how AI is changing that model. By combining structured project data with unstructured signals like stakeholder feedback and communication sentiment, organizations can identify emerging risks earlier and act before they escalate.

You will learn how to:

• Identify risks earlier using sentiment analysis and stakeholder feedback
• Shift from reactive reporting to proactive, real-time risk monitoring
• Combine KPIs and qualitative inputs through composite risk scoring
• Gain continuous visibility into project health across teams and phases
• Use Microsoft Dynamics 365 and the Power Platform to operationalize AI insights