Welcome to this Project Delivery podcast, where we tackle one of the biggest headaches in project delivery: why projects fail — and how to stop it before it’s too late.
Imagine this: Your dashboards are green, confidence is high… and then suddenly, everything unravels. What if you could see those risks coming weeks or even months ahead?
I’m Duncan Stott and I’m joined by Mandie Beitner, an experienced transformation leader and Gurdeep Grewal and Jora Gill, the co-founders of FireBreak, who are using AI tools to predict project drift before disaster strikes.
The Core Problem: Project Drift and Unpredictable Failure
The founders, both seasoned transformation leaders, repeatedly witnessed how even well-managed, large-scale programs (especially complex ERP, CRM, and migration projects) can suddenly drift and fail without early warning, often reporting "green" right up until the budget is spent (the "green-washing" effect).
The AI Solution: Predictive Drift Detection
Firebreak was created to address the 70% failure rate of large projects by leveraging AI to analyze massive volumes of project data simultaneously—a task impossible for humans.
The analogy used is moving from a static "map" (backward-looking plans and business cases) to a dynamic "sat-nav" (constantly analyzing, forecasting, and updating the journey).
How Firebreak Works
The AI ingests and analyzes a wide array of data points: time schedules, budgets, business cases, scope changes, decision lateness, and estimations.
It identifies critical signals that program directors often miss due to sheer volume, such as persistent missed deliveries or stalled decisions.
Crucially, it removes human bias from reporting, providing an unvarnished, objective view of project health.
Outputs and Value
Firebreak automatically generates governance reports that highlight successes and identify areas that could lead to trouble.
It goes beyond monitoring by providing AI-driven recommendations for corrective action leading to fewer cost overruns and faster detection times.
Empowering Project Managers
The tool is not a threat, but an aid that helps project managers do their jobs better by automating data management and reporting.
It frees up project managers to focus on the bigger picture, strategic thinking, and proactive problem-solving, rather than constantly chasing data and producing reports. It can also be used to train us and perhaps our junior colleagues.
So a fascinating tool, and a great use case for AI to help us project manage
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