Score driver risk from telematics data and adjust insurance premiums

Analyzes driving data with AI to score risk, adjusts premiums automatically, and flags high-risk drivers to your team.

How the work actually flows

It branches. Exactly one path is taken; runs once per each vehicle or driver.

Pattern: Exclusive Choice (4) · Multiple Instances without Synchronization (12)

flowchart TD trig(["scheduled telematics data pull"]):::trigtime s0[["score risk with AI"]]:::mi s1["update premium in policy system"]:::svc trig --> s0 s0 --> s1 gx{"× is driver high risk"}:::gate s1 --> gx p00["alert underwriting managers"]:::task gx -->|"high risk"| p00 p01["message claims team"]:::task p00 --> p01 p10["no further action"]:::task gx -->|"not high risk"| p10 p01 --> out p10 --> out out[/"updated premium and risk alerts sent"/]:::out pay{{"consistent risk-based pricing without manual review"}}:::pay out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
Starts itAn outside serviceRuns once per itemOne path onlyResultPayoff
Build size
Advanced

A larger build with multiple systems, AI reasoning, and custom rules.

Business functions
AI Agents & Autonomous SystemsEmail AutomationMessaging & NotificationsSecurity & Compliance
Connects
Anthropic ClaudeGmailSlack
Featured in

The problem it solves

Reviewing driving behavior data by hand to set fair premiums is slow and inconsistent across underwriters. You need a reliable way to catch risky driving patterns quickly and get the right people notified before a claim happens.

Who it fits

Auto insurance carriers and underwriting teams running usage-based insurance programs.

How it works

  1. On a schedule, the system pulls the latest driving data from vehicles or mobile apps.
  2. AI reviews acceleration, braking, speeding, and time-of-day patterns to generate a risk score.
  3. The premium is recalculated based on the new score and updated in your policy system.
  4. High-risk drivers trigger an email alert to underwriting managers and a message to the claims team.
What you get

Premiums adjusted from fresh driving behavior

Driver risk scores update automatically from telematics data, with premium changes and alerts ready for your underwriting team to confirm.

What you get

An updated premium in your policy system, plus alerts to your team when a driver is flagged high-risk.

What you need

An Anthropic API key, access to your telematics data platform, and your policy management system.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

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