In this webinar, we’ll walk through how we built an AI layer on top of a transportation client’s existing systems to uncover $100 to $170 million in CapEx savings opportunities, hidden inside 15 years of fragmented asset data.
Instead of replacing their infrastructure, we added an AI layer designed to:
- Connect asset, maintenance, and investment data across disconnected systems
- Identify structural spending patterns invisible to dashboards
- Surface anomalies and optimization opportunities across 15 years of decisions
- Translate findings into finance-ready insights
The result was not a theoretical model. It was $100 to $170 million in validated savings opportunities, reviewed and confirmed by their finance team.
What we’ll cover:
- Their CapEx process before and after
- Why traditional reporting failed to surface optimization potential
- How we built and deployed the AI layer without disrupting core systems
- How finance validated and pressure-tested the results
- What we would change if we started the project today
Who should watch?
This session is designed for leaders who:
- Approve CapEx but cannot fully explain investment logic to the board
- Operate across disconnected asset systems
- Suspect inefficiencies exist but lack a defensible way to surface them
- Want practical AI applications, not hype
Ideal for CIOs, CFOs, and VPs of Operations at mid-size and enterprise organizations.
Webinar
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Join experts from N-iX to explore how AI can uncover hidden value in your existing CapEx data.