Case Study · 04 / 10

Risk Forecasting & Assessment

Earlier identification of high-impact risks, reduced disputes and cost overruns, and continuous 24/7 monitoring in place of monthly reviews.

Predictive AIIndustrial Risk Management

Early

Detection

Reduced

Disputes

24/7

Monitoring

Challenge

Operational and financial risks surfaced too late, historical dispute and budget data was underutilized, and monitoring was polling-based and reactive.

Solution

Combined LightGBM classifiers for risk typing with an LSTM anomaly detector on streaming operational signals (Kafka), and generated auto-scored risk registers surfaced through a Grafana operator view.

Impact

Earlier identification of high-impact risks, reduced disputes and cost overruns, and continuous 24/7 monitoring in place of monthly reviews.

Tech stack

PyTorchLightGBMKafkaGrafanaPostgres

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