Insurance

Transform claims processing with AI.

Q: What is AI claims processing?

AI claims processing uses machine learning and large language models to read claims documents — forms, medical records, estimates, photos of supporting paperwork — then extract, classify, validate, and route them automatically. Adjusters review only exceptions and high-value claims instead of every file.

Q: How much faster is automated claims processing?

AIONDATA customers see up to 80% reduction in claims processing time, with throughput above 10,000 documents per hour at less than $0.01 per document. First-pass extraction happens in seconds, so straightforward claims move to settlement the same day.

Q: Do humans stay in the loop?

Yes — by design. Confidence thresholds route ambiguous or high-stakes claims to reviewer queues, and every automated decision is logged with its inputs and confidence score, so adjusters and auditors can trace exactly what happened.

Q: Is automated claims processing compliant for regulated insurers?

AIONDATA maintains full audit trails on every AI decision, enforces tenant isolation and row-level security, and is SOC 2 ready. Claims data is never used to train AI models, and deployment can run in your VPC or on-premises for maximum control.

Process thousands of claims documents per hour, reduce processing time by 80%, and maintain full audit trails — all at less than a penny per document.

Book a demo Explore Agentic Studio

80%

Faster claims processing

<$0.01

Per document cost

10K+

Docs per hour

97%+

Extraction accuracy

Challenges in insurance

Document volumes, manual bottlenecks, and regulatory demands.

Mountains of claims documents

Thousands of claims, policies, and supporting documents processed daily — mostly by hand.

Slow processing times

Manual review of claims creates bottlenecks, delays payouts, and frustrates customers.

Audit and compliance requirements

Every decision must be traceable and auditable for regulatory compliance.

How AIONDATA solves it

AI-powered claims processing

Automate ingestion, classification, and extraction of insurance claims documents at enterprise scale with full audit trail.

80% reduction in processing timeAgentic Studio

Risk analytics and portfolio reporting

Natural language queries across policy data, claims history, and market data for instant risk assessment.

99.9% query accuracyData Intelligence

Enterprise-scale document pipelines

Process 10,000+ documents per hour with schema-driven extraction, confidence scoring, and human-in-the-loop review.

< $0.01 per documentAgentic Studio

Why insurance companies choose AIONDATA

AI that processes claims at scale — with human oversight where it matters.

80% reduction in claims processing time

Process 10,000+ documents per hour at <$0.01/doc

Human-in-the-loop review for critical or ambiguous claims

Full audit trail for every AI decision — SOC 2 ready

Zero cross-tenant data leakage by design

Deploy on-prem or in your VPC for maximum data control

Claims processing FAQs

What is AI claims processing?

AI claims processing uses machine learning and large language models to read claims documents — forms, medical records, estimates, photos of supporting paperwork — then extract, classify, validate, and route them automatically. Adjusters review only exceptions and high-value claims instead of every file.

How much faster is automated claims processing?

AIONDATA customers see up to 80% reduction in claims processing time, with throughput above 10,000 documents per hour at less than $0.01 per document. First-pass extraction happens in seconds, so straightforward claims move to settlement the same day.

Do humans stay in the loop?

Yes — by design. Confidence thresholds route ambiguous or high-stakes claims to reviewer queues, and every automated decision is logged with its inputs and confidence score, so adjusters and auditors can trace exactly what happened.

Is automated claims processing compliant for regulated insurers?

AIONDATA maintains full audit trails on every AI decision, enforces tenant isolation and row-level security, and is SOC 2 ready. Claims data is never used to train AI models, and deployment can run in your VPC or on-premises for maximum control.

Ready to transform claims processing?

See AIONDATA process your insurance documents in real time.

Book a demo