Across the water and gas utility sector, the pressure to justify capital spend and operational response has never been higher. Regulators, finance leaders, and even customers are asking for clearer evidence behind every replacement, inspection, and leak detection initiative.
Yet, many risk platforms still operate like black boxes—delivering a Likelihood of Failure score without context. Utilities know which pipes are high risk, but they’re left without the crucial insight behind the score: What’s actually driving that risk?
This shift—from score-based insights to transparent, defensible analytics—is reshaping how utilities approach asset management.
The Industry Shift: From Risk Scores to Explainable Risk Intelligence
Historically, infrastructure teams relied on static attributes like material or age to assess risk. Today, machine learning-driven risk models consider dozens of variables, from soil chemistry to environmental stressors. The result? More accurate predictions—but often less interpretability.
And that’s the issue.
- Engineering teams need to defend decisions with evidence.
- Finance teams need to see why certain mains are prioritized over others.
- Field teams need to understand what to look for during inspection or leak detection.
- Leadership needs clarity—not just a red or green indicator on a dashboard.
Without transparency, even the most advanced models struggle to build trust across departments.
Introducing LOF Highest Influencers: Clarity Behind Every Prediction
Rezatec’s LOF (Likelihood of Failure) Highest Influencers changes that.
Likelihood of Failure Data in Rezatec’s Pipeline Risk
Instead of just assigning a risk score, the platform now surfaces the top six contributing factors behind that score—clearly showing how each variable pushes pipeline risk up or down compared to an expected baseline.
This means utilities can:
- Justify investments with data-backed reasoning
- Align engineering and finance teams on risk drivers, not just outputs
- Improve inspection targeting by focusing on pipes with combined risk factors (e.g., material + soil acidity)
- Gain trust in predictive models by understanding model logic—not just outputs
From Reactive Planning to Confident, Data-Led Decisions
Not all risk comes from a single cause. A pipe material may be considered safe in isolation, but when combined with adverse ground conditions or surrounding environmental stress, the true risk picture changes.
By visualizing risk influencers side by side, utilities gain a new level of operational intelligence—making it easier to plan, defend, and optimize budgets with confidence.
See the Real “Why” Behind Pipeline Failure – Not Just the What
With Rezatec’s transparency-first approach to predictive analytics, utilities no longer have to accept unexplained scores. They gain actionable insight into the reasons behind asset degradation, enabling smarter long-term planning and more targeted short-term interventions.
You’re not just seeing risk—you’re finally understanding it.