PII EraserInsurance
Turn Claims Data Into a Competitive Advantage
Redact policyholder PII, payment data, and health information from claims records, call transcripts, and adjuster notes — and build AI-powered claims tools with a PII guardrail that runs entirely within your infrastructure.
The Challenge of Unstructured Claims
High Value Data
Insurance companies sit on decades of claims data that would transform fraud detection, claims automation, and customer service AI, particularly through GenAI initiatives.
Sensitive Data in Every Claims Field
Adjuster notes, claim narratives, free text fields in claims management systems, call transcripts, and customer correspondence all contain personal identifiers interleaved with the damage descriptions, treatment details, and fraud indicators that analytics and AI teams actually need. Regex-based tools and generic NER models miss identifiers embedded in conversational, unstructured text.
Compliance Blocking Innovation
GDPR, PCI DSS, health insurance regulations, and data residency requirements create multi-quarter approval cycles for AI projects that touch claims data. Fraud detection models run on stale data. Claims automation projects stall. Customer service AI can't train on real interactions.
Built for the Complexity of Real Insurance Data
PII Eraser supports the OpenAI chat completion format directly, leading to improved accuracy and sub-second latency via intelligent context.
Insurance data mixes personal identifiers, payment card data, and health information in the same claim. Detect 60+ entity types including government ID and healthcare numbers with one tool.
PII Eraser runs air-gapped inside your VPC or on-prem environment — no data transmitted to external services. The container is built with a hardened, minimal dependency stack for easier security review and patch management.
PII Eraser is optimized for insurance-domain data across all supported languages and countries — claims narratives, adjuster notes, customer correspondence, free text fields in databases, and policy documents.
De-identified claims data is only useful if the claims context survives. Strip policyholder data while preserving damage descriptions, claim sequences, fraud indicators, and resolution outcomes that analytics and AI teams need.
Process complete documents in a single API call — up to 1M+ tokens. No client-side chunking, no split-and-reassemble logic, and no accuracy degradation on long inputs.
Common Workflows
AI-Powered Claims Processing
Redact policyholder PII from claims data before it reaches LLM-powered triage tools, summarization engines, or automated routing systems. PII Eraser's native chat support handles multi-turn agent-customer interactions — including agentic pipelines and MCP-enabled tool integrations.
Fraud Detection & Investigation
Fraud detection relies on patterns across claims, not individual identities. Hash policyholder data so fraud teams and ML models can track suspicious patterns — similar damage descriptions, provider relationships, claim timing — without exposing real identities.
Contact Center & Claims Call Data
Redact payment card data, policyholder identifiers, and health details from call transcripts before they reach your CRM, quality management platform, or data warehouse. Redacted transcripts preserve agent tone, resolution patterns, and customer sentiment — everything QA and analytics teams need without the compliance exposure.
Cross-Border Data Sharing & Reporting
Share claims data across teams, jurisdictions, reinsurers, or regulators without exposing raw identifiers. PII Eraser automatically handles localized identifier formats across 15+ countries, reducing the manual policy work normally required for multinational insurance operations.
Caller: <NAME> (Policy <ACCOUNT>).
The insured reported a multi-vehicle collision near <LOCATION>. The claimant can be reached at <PHONE> or via <EMAIL>. Adjuster notes indicate potential whiplash; medical records requested from <ORGANIZATION>.
Caller: Sarah Jenkins (Policy #992-A).
The insured reported a multi-vehicle collision near 12th Avenue. The claimant can be reached at 555-0199 or via s.jenkins@email.com. Adjuster notes indicate potential whiplash; medical records requested from City Hospital.
Discuss your data protection needs
Contact us to explore how PII Eraser fits your compliance, fraud prevention, and AI architecture requirements.