IB Insurance
Retire legacy insurance systems. Keep every policy and claim record within reach
Archive policy, claims, billing, and underwriting data to retire costly legacy platforms, reduce cybersecurity exposure, and keep audit-ready access to historical records for as long as your retention schedules require.
The Challenge
Insurers keep legacy systems running to protect decades of policy and claims history
- Policy administration and claims platforms kept alive only for long-tail records
- Retention schedules that stretch across policy lifecycles, claim tails, and jurisdictions
- Policy, claims, billing, and underwriting data split across acquired and aging systems
- Unpatched, outdated environments holding sensitive policyholder information
Solutions
Archive insurance data and retire legacy applications
- Extract policy, claims, billing, and underwriting data with relationships and context preserved
- Retire legacy policy administration, claims, and finance systems without losing access to the records they hold
- Deploy on-premises, in the cloud, or in a hybrid model to match your data residency needs
- Search archived records using natural language through AQL Copilot™, without restoring the data to its original system
Infobelt Omni Archive Manager (OAM™) is a unified archiving platform that ingests structured, semi-structured, and unstructured data into one governed archive. It connects to databases, file systems, email systems, ERP systems, SaaS platforms, and more through pre-built connectors. Archived content is compressed, encrypted, indexed, and kept searchable so your teams can answer questions about a policy or claim without keeping the legacy application running.
Use Cases
Retiring systems while keeping policy, claims, and underwriting data accessible
- Decommission legacy policy administration and billing platforms after migration
- Preserve claims files, notes, and correspondence for litigation and regulatory inquiries
- Consolidate data from acquired carriers and books of business
- Retain underwriting files and supporting documents for audit and dispute resolution
- Retire legacy SAP and ERP finance systems while keeping premium, ledger, and reinsurance history available
- Support fraud, loss-ratio, and actuarial analysis with historical data
Benefits
Lower cost, faster access, stronger records governance
- Reduce infrastructure, licensing, and maintenance costs tied to legacy systems
- Speed up responses to audits, regulatory requests, and legal discovery
- Shrink the attack surface by retiring unsupported applications
- Modernize core systems without losing historical visibility
Insurance IT teams can move forward with core transformation projects while claims, compliance, legal, and customer service teams keep the history they depend on.
Compliance & Risk Mitigation
Strengthen records governance while reducing regulatory and cyber risk
- Apply retention schedules and legal holds to policy, claims, and underwriting records using OAM's built-in policy manager
- Maintain activity audit trails to support chain-of-custody requirements
- Reduce ransomware exposure with immutable, isolated archives
- Use archive encryption, fine-grained entitlements, and Active Directory integration to control who sees sensitive policyholder data
- Support defensible disposition of records that have passed their retention period
Why Infobelt Omni Archive Manager (OAM™) for Insurance
- Acquire: Ingest data from databases, file systems, email, ERP systems, SaaS platforms, and flat files using pre-built connectors
- Manage: Scale from megabytes to multi-petabytes, with OmniBot™ automation for archive management
- Access: Query archives with AQL Copilot™ and use full-text, keyword, and semantic search for e-discovery and analytics
- Govern: Retention policies, legal holds, audit trails, and defensible disposition in one place
- Deploy: On-premises, cloud, or hybrid
OAM is already used at enterprise scale. Infobelt manages more than 30 trillion records for a Fortune 10 bank, drawing on data from over 550 legacy applications and data sources. Read the case study
Frequently Asked Questions
Yes. Archive Query Language (AQL™) and AQL Copilot™ let users query and report on compressed, secured archives directly, including through natural language.