Solution · Insurance

Loss ratio and fraud, in view and in real time

Risk analytics and BI for carriers: loss-ratio dashboards, fraud detection, and portfolio performance in one place, to decide with data and control the result before the loss.

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one real-time view of loss ratio, fraud, and portfolio performance

The challenge

In insurance, data that arrives late becomes a loss

Loss ratio, fraud, and portfolio performance only protect the result when they're seen at the right time. The gaps we see most:

Loss ratio seen too late

By the time the loss ratio shows up at close, the damage has already happened. Without continuous monitoring, corrections to pricing and acceptance always arrive late.

Fraud that goes unnoticed

Staged claims, colluding shops, and suspicious patterns hide in the volume. Without a model to flag the deviation, fraud is only noticed after the payout has left.

Portfolio performance in the dark

Which products, channels, and profiles deliver results and which drain margin? Without a consolidated view of the portfolio, the decision to grow or pull back becomes a bet, not a strategy.

Manual, delayed reporting

Spreadsheets exported by hand, numbers that don't match across teams, and reports that arrive days later. By the time the information circulates, the moment to act has passed.

How we implement

From claim to decision, risk under control

We build the risk analytics layer with the standards we learned delivering data and dashboards for the insurance sector.

Real-time loss-ratio dashboards

Loss ratio by product, line, channel, and cohort, updated continuously and drillable down to the claim. Management watches the curve form and reacts before close, not after.

Fraud detection models

Machine learning that learns your portfolio's patterns and highlights claims and proposals with fraud signals for the team to investigate first. Fraud caught before payout is a loss that never happens.

Portfolio and underwriting performance

Profitability by product, profile, and channel cross-referenced with underwriting and acceptance indicators. It's the kind of performance read we delivered in an insurtech CRM, with a results dashboard for brokers.

Real-time alerts

Rules and thresholds that fire an alert the moment loss ratio climbs, a channel turns, or a fraud pattern appears. The team gets the warning at the right moment, not in next month's report.

Technologies

Technologies & partners

Python
Machine Learning
Node.js
PostgreSQL
AWS
Python
Machine Learning
Node.js
PostgreSQL
AWS

Common questions about risk analytics

Let's put your risk in plain view

Bring your challenge in loss ratio, fraud, or portfolio performance. You'll leave the conversation with a clear technical path, from the data to the dashboard management uses every day.