Active Insurance Risk Assessment - Dynamic Premium Calculator
Dynamic behavior-based risk scoring. Input: client profile plus six behavioral indicators (telemetric data, wearables/IoT devices, cybersecurity metrics) - output: percentage of premiums adjusted for the individual's level of risk and a gauge from zero to one hundred indicating their overall degree of exposure; recommendations on how best to mitigate these risks are also provided by Ollama.
Insurance Company
Client Profile
Behavioral Indicators (0-100)
Scroll the sliders to set each behavioral signal level. 100 = optimal behavior.
Frenate brusche, velocità, ore notturne, manovre aggressive
Attività cardio settimanale, qualità del sonno, range BMI
MFA adottato, patch compliance, password manager, backup
Sensori fumo/acqua/CO2, allarme, sistemi antifurto, casco
100 = zero sinistri; -15 punti per ogni sinistro negli ultimi 5 anni
Uso app assicurativa, moduli formativi completati, aggiornamenti policy
Come utilizzare Active Insurance Risk Scoring - Dynamic Premium Calculator
Choose insurance line
Select one of 5 active lines (auto, health, cyber, home, property): each has a baseline premium profile & different weights for behavioral signals.
Enter customer profile
Fill in age, asset value insured, number of claims over last five years and client's seniority: basic demographic/actuarial data.
Regulate 6 behavioral signals
Move the cursors from 0 to 100 for each behavioral signal (telematics, wearable, cyber, IoT, sinisterness, engagement). 100 represents the most virtuous behavior.
Calculate the risk score and read recommendations
The tool shows a risk score of 0-100 with gauge, premium adjustment percentage compared to baseline, contribution of each signal, and up to 5 mitigation recommendation suggestions.
Suggerimenti
- Cyber and IoT lines are generally more sensitive to behavioral signals than traditional auto: small cursor variations greatly change risk score.
- Use mitigation recommendations as basis for real commercial proposals: show how many points could be recovered through concrete actions.
- Compare same customer profile on multiple insurance lines to understand how model weights and sensitivity vary.
Domande frequenti
What is active insurance (or usage-based insurance)?
It's an insurance model where the premium isn't fixed but varies dynamically based on real behavioral data collected through telematic devices, wearables or IoT sensors: a more cautious driver, healthier lifestyle or better cybersecurity posture translates to lower premiums.
How is the risk score of 0-100 calculated?
The model combines customer profile (age, asset value, past claims, seniority) with weighted behavioral signals based on selected insurance line. Each signal contributes to final score in direction "low-risk" or "high-risk" depending on its value.
What does the premium adjustment percentage represent?
It's a variation of -40% to +50% (depending on line) applied to baseline premium based on calculated risk score: low score leads to discount, high score to surcharge.
Does this tool replace an actual actuarial assessment?
No. This is a demonstrative indicative model for InsurTech/FinTech B2B teams, not insurance offer nor official actuarial advice. Each real policy requires official evaluation by authorized insurer.
Are customer data saved or transmitted?
No, calculation occurs entirely in browser (client-side): no data sent to server or stored persistently, so you can freely test scenarios with realistic data without privacy risks.