Insurance Data Modernization Around Your Core Systems


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Your policy, claims and billing systems still run the business. The problems start in the gaps between them. Multishoring connects, migrates and governs the data around your core, so reports reconcile, claims keep moving and AI has data it can use. We work with US P&C and Life & Annuity carriers on IBM Cloud Paks – in phases, without a rip-and-replace.

Insurance data and IT team reviewing analytics dashboards and integration code during a data modernization project
Experience

We Speak Policy, Claims and Reserves – Not Just APIs

Insurance data has its own objects, owners and controls. Before we build a single pipeline, we map how policy, claims, billing, party and financial data move through your business and who signs off on each number. P&C carriers usually bring us claims and core migration problems. Life & Annuity carriers bring PAS conversions, in-force blocks and actuarial feeds.

Inside the carrier

  • Policy Administration (PAS)
  • Claims & FNOL
  • Billing & Payments
  • Underwriting
  • Actuarial & Reserving
  • Statutory & GAAP Reporting

Around the carrier

  • Agents, Brokers & MGAs
  • TPAs & Claims Vendors
  • Reinsurance & Bordereaux
  • Third-Party Risk Data
  • State Regulators & NAIC
  • M&A and Book Transfers

Our Insurance Data & Integration Services

Five services, one accountable team. Each one starts from a business process and a measured baseline, then uses the IBM Cloud Pak capability that fits the job – not the other way around.

Insurance Data Integration 

Policy, claims, billing, CRM, agent portals and partner feeds often connect through point-to-point links that nobody fully documented. When one breaks overnight, someone finds out from a wrong report the next morning.

We inventory every interface, rank it by business risk and rebuild the critical ones on IBM Cloud Pak for Integration: managed APIs, IBM MQ for transactions that must arrive once and in order, events for status changes and governed file transfer for partners and bordereaux. Every flow is monitored, and a failed message can be traced and resubmitted.

IBM Cloud Pak for Integration

Core & Legacy Modernization 

Your PAS or claims core may run on a mainframe, IBM i or an older Java stack. It holds decades of product logic, which is exactly why replacing it is slow and risky.

We modernize around it. The core stays the system of record. We expose its services through APIs, move the components that block change onto Red Hat OpenShift and IBM Cloud Pak for Applications, and retire legacy parts one at a time. New products and channels ship without waiting for a multi-year replacement program.

IBM Cloud Pak for Applications

Mainframe & AS/400 Integration

Data Migration & Policy Conversion 

Core migrations rarely fail on the new platform. They fail on undocumented calculations, broken policy-to-claim relationships and differences nobody reconciled.

We profile the source data, agree transformation rules with your business owners and build automated reconciliation for premium, reserves, claims and policy counts. For P&C we migrate by line of business or state. For Life & Annuity we convert in-force and closed blocks with their history intact. The legacy system stays authoritative until the numbers match and Finance and Actuarial sign off.

Data Migration Services

Claims Workflow & Exception Handling 

Complex claims stall in inboxes: missing documents, referrals to legal or SIU, approvals above authority limits. The claims system records the claim, but the coordination happens around it.

We map one high-volume claims journey, then use IBM Cloud Pak for Business Automation to route work, capture document data, apply agreed rules and send unusual cases to a person. Adjusters keep their judgement. Managers see ageing and bottlenecks while they can still act, and every decision leaves an audit trail.

P&C Claims Exception Orchestration

IBM Cloud Pak for Business Automation

Data Governance, BI & AI Readiness 

When Finance, Claims and Underwriting each report a different loss ratio, a new dashboard will not fix it. The definitions split upstream.

We agree shared definitions for policy, premium, claim and reserve data, then build the governed layer underneath on IBM Cloud Pak for Data: business catalog, lineage, data quality rules and access controls. On top of it we deliver executive and operational reporting in Power BI or the BI tool you already use. The same controls give AI use cases traceable inputs and help you document AI use where your state has adopted the NAIC Model Bulletin on AI.

IBM Cloud Pak for Data

Data Governance Services

Why Carriers Call Us

Most engagements start with one of these four situations.

Reports That Don’t Reconcile

Loss ratio, written premium and reserves differ between Finance, Actuarial and Claims. Every board pack starts with a reconciliation exercise.

A Core Program at Risk

A Guidewire, Duck Creek or PAS conversion is underway, and data quality, undocumented interfaces or cutover planning have become the critical path.

Claims Stuck Between Systems

Adjusters rebuild each file from the core, documents, email and vendor portals before they can act. Cycle time grows with every hand-off.

AI Pilots That Stall

The model works in the demo. Production is blocked by data quality, missing lineage and open questions from risk and compliance.

IBM Cloud Pak & Data Technologies We Implement for Insurers

IBM Cloud Paks are our core toolset for insurance integration, automation and data governance. Where parts of your estate already run on Microsoft, Snowflake or Databricks, we build around them instead of replacing them.

  • IBM Cloud Pak for Integration
  • IBM Cloud Pak for Data
  • IBM Cloud Pak for Business Automation
  • IBM Cloud Pak for Applications
  • Red Hat OpenShift
  • IBM MQ & API Connect
  • IBM watsonx.governance
  • Mainframe & IBM i Integration
  • Guidewire & Duck Creek Integration
  • ACORD Data Standards
  • Power BI
  • Snowflake & Databricks
Data center aisle with server racks hosting insurance core systems and integration infrastructure

What Changes When the Data Layer Works

Data center aisle with server racks hosting insurance core systems and integration infrastructure

One set of insurance numbers

Premium, loss ratio, reserves and retention mean the same thing in every report, so leadership meetings start from the numbers instead of a reconciliation.

Modernization without cutover risk

Integration comes first, migration follows by line or block, and nothing is retired until automated reconciliation proves parity.

Claims that keep moving

Work, documents and exceptions are routed automatically. Specialists spend their time on judgement, not on searching for information.

Evidence on demand

Lineage, access logs and decision trails are built together with each pipeline and workflow, so audit and regulator questions are answered from records, not reconstructed.

Integration Reliability at Scale: What Pernod Ricard Says

“When it comes to our internal IT needs, we put emphasis on reliability and competence. That’s why we collaborate with Multishoring.”

Tomaž Praprotnik
Head of Integration CoE at Pernod-Ricard
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    FAQ

    Insurance Data Modernization: Questions Carriers Ask

    If you don’t find the answer you’re looking for, book a 30-minute diagnostic call. No preparation needed.

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    What is insurance data modernization?

    Insurance data modernization is the work of connecting, cleaning, migrating and governing policy, claims, billing and financial data so it can be trusted for reporting, operations and AI. It usually happens around the existing core systems rather than by replacing them, and it covers integration, migration, data governance and BI as one program.

    Do we have to replace our core system to modernize insurance data?

    No. In most carriers the policy or claims core is stable and holds years of product logic. We keep it as the system of record, expose its data and services through managed APIs and events, and modernize the components that block change. A core replacement can follow later, on cleaner data and with lower cutover risk.

    How do you integrate legacy policy administration systems with modern apps and APIs?

    We start with an inventory of every interface around the PAS, including batch jobs and file transfers. Critical services are then exposed through managed APIs on IBM Cloud Pak for Integration, IBM MQ carries transactions that must not be lost, and events publish status changes to channels and partners. Mainframe and IBM i systems can stay where they are.

    How long does an insurance data migration or policy conversion take?

    It depends on the number of source systems, lines of business or blocks, data quality and reconciliation requirements. A focused migration of one line or one block is a matter of months, while a multi-system program runs in phases. We give a timeline only after assessing your environment, and the legacy system stays authoritative until reconciliation and business sign-off are complete.

    Can AI handle insurance claims, and what data does it need first?

    AI can support claims work, for example by summarizing a file, extracting facts from documents or flagging cases for review. It needs complete, consistent and traceable claims, policy and document data first, plus clear rules on which decisions stay with people. We build that data and control layer before a model goes into production.

    How do you automate claims processing without disrupting adjusters?

    We start with one high-volume claims journey and observe how adjusters actually work. Workflow then routes tasks, documents and approvals around the existing claims system, rules handle the routine steps, and unusual cases go to a person. Adjusters keep their judgement and stop chasing information.

    How does IBM Cloud Pak fit alongside Guidewire or Duck Creek?

    Guidewire and Duck Creek remain your policy, billing and claims systems. IBM Cloud Pak for Integration connects them with legacy systems, partners and channels, Cloud Pak for Business Automation coordinates work around them, and Cloud Pak for Data governs the data they produce for reporting and AI. The Cloud Paks complement the core platform; they do not replace it.

    How do you make loss ratio and claims reports reconcile across Finance, Actuarial and Claims?

    Conflicting numbers usually come from different definitions, sources and refresh times, not from the dashboards. We agree one definition per metric with the business owners, trace each metric back to its source data, add automated quality checks and publish certified datasets that every team reports from.

    Do you work with both P&C and Life & Annuity carriers?

    Yes. For P&C carriers the work is usually about claims, core migration, partner feeds and loss ratio reporting. For Life & Annuity carriers it is more often PAS conversion, in-force and closed block consolidation, distributor integration and actuarial and finance data.

    How do you handle security and access to nonpublic policyholder data?

    We work inside the access model your security team defines: least-privilege access, documented data flows, logging and agreed rules on where data may be processed. We support the third-party due diligence carriers run under the NAIC Insurance Data Security Model Law and state rules such as NYDFS Part 500, and we disclose who on our side touches which data.

    How do we start working with Multishoring?

    Book a 30-minute diagnostic call and tell us which process, report or program is under the most pressure. No preparation is needed. If there is a fit, the next step is a fixed-scope assessment that maps systems, data risks and a phased plan before any larger commitment.

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