Industry · Insurance
Model the AI cost of claims processing, underwriting and policy servicing at insurer scale.
Insurers process millions of claims and policies annually. AI is being embedded into intake, triage, fraud detection, underwriting and customer support — each with distinct token profiles. This calculator estimates the full operational footprint.
Tokens / employee / yr
6–28M
Annual cost / employee
$40–$650
Per-claim AI cost
$0.05–$0.40
Automation rate target
40–60%
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Embedded in core workflows. Mixed adoption.
AI-assisted tasks
3 / 3Annual estimate
$246.6K
Total token OpEx for 2,000 employees · Claude Sonnet 4
Key cost considerations for insurance
- Claims volume is the dominant variable — model token cost per claim, not per employee.
- Efficient models (Gemini Flash, GPT-5 mini) cover 70–80% of claim summarization at <10% of frontier cost.
- Fraud-detection workflows benefit from frontier models; route only high-risk cases there.
Primary AI workloads in this industry
- AI customer support cost calculator — 5K – 25K tokens / event, $0.02 – $0.20 per conversation.
- AI financial analysis cost calculator — 8K – 40K tokens / event, $0.05 – $0.80 per analysis.
- RAG cost estimator — 5K – 50K tokens / event, $0.01 – $0.20 per query.
Frequently asked questions
›What does AI cost per claim?
Summarization and triage typically cost $0.05–$0.15 per claim on efficient models. Full automated adjudication with frontier models reaches $0.25–$0.40.
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