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Every insurer is investing in AI.

Most are building on data that

can't run it.

 

AI can transform underwriting, claims, and fraud-but only with

trusted data. KPI Partners builds a cloud-native, governed data

foundation that accelerates AI adoption and modernizes legacy

systems faster.

 

 

Fraud Detection Actuarial Analytics Regulatory Compliance Legacy Platform Exit Data Governance Model Readiness BI Migration AI-Ready Data Underwriting Intelligence Claims Automation Actuarial Analytics Fraud Detection
The gap isn't ambition. It's the data foundation.
 
Boards have approved the AI strategy. Vendors have demoed the models. What stalls the
program is the same thing every time: the data underneath isn't ready to run them..
 
 
insurance - kpi partners

Find the Accelerator

Built for Your System

 

None of these are new. But each one becomes more expensive the moment AI moves from the roadmap to the budget - because every model, copilot, and automation depends on the foundation below it.

 

  1. Legacy Platform Lock-In

    Finance, actuarial, and claims pipelines buried in Oracle EBS, OBIEE, on-prem EDWs, or aging BI - costly to maintain, impossible to scale.

    | No model can run on infrastructure your own teams can't change.

  2. Fragmented Data Across Business Lines

    Claims, finance, actuarial, and underwriting working off separate data with no unified semantic layer - reconciliation overhead and conflicting executive numbers.

    | AI trained on inconsistent data inherits, and scales - the inconsistency.

  3. Governance & Explainability Pressure

    IFRS 17, Solvency II, and state filings demand audit-ready, governed pipelines. AI raises the bar again: regulators now expect lineage and explainability for model-driven decisions.

    | Ungoverned data turns every AI use case into a compliance liability.

  4. BI Modernization at Enterprise Scale

    Migrating thousands of legacy reports without disrupting operations is high-stakes. The risk of inaccuracy, lost logic, and user disruption keeps organizations stuck.

    | A self-service, governed analytics layer is the staging ground for AI.

  5. The Distance From Pilot to Production

    Leadership wants AI-driven underwriting, fraud detection, and predictive claims. Without a clean, unified, governed foundation, these stay perpetual pilots.

    | The difference between a demo and an operating capability is the data layer.

A path to AI, built in the right order
 
KPI Partners is a data and analytics consultancy with partnerships across the leading cloud platforms. Our insurance practice
sequences the work so each stage compounds - a modern platform feeds modern BI, and both make AI safe to put into production.
 
 

Replace aging infrastructure-Oracle, SQL Server, on-prem EDWs, first-generation cloud-with modern, cloud-native foundations across Azure, AWS, Snowflake, and Databricks.

  • Oracle EBS / OBIEE / OAC migration

  • SQL Server / SSIS / SSRS modernization
  • Legacy EDW to cloud Lakehouse migration
  • Data architecture design and implementation
  • Platform-agnostic assessment and roadmap

Insurance modernization, delivered.

These outcomes are drawn from live engagements with KPI Partners insurance clients.

Client names are withheld - reference calls available on request.

 

Deploys on the stack you already chose

The accelerators are platform-agnostic by design. Deploy on your preferred cloud

data platform and visualize in your tool of choice - no lock-in - no re-platforming.

 

 

All enterprise data warehouses, databases, and ETL / data-integration tooling - converted with logic and lineage preserved.

Source - migrate from

Oracle (EBS / Exadata) SQL Server Teradata Netezza IBM Db2

Target - migrate to

Microsoft Fabric Snowflake Databricks Azure Data Platform

All enterprise data warehouses, databases, and ETL / data-integration tooling - converted with logic and lineage preserved.

Source - migrate from

Oracle (EBS / Exadata) SQL Server Teradata Netezza IBM Db2

Target - migrate to

Microsoft Fabric Snowflake Databricks Azure Data Platform

Talk to an insurance

AI & data expert

 

Two fast paths to value whichever fits your stage.

 

Whether you're pressure-testing an AI strategy or ready to modernize the foundation beneath it, KPI Partners offers structured,

low-risk engagements designed for the complexity of enterprise insurance platforms.

 

 

AI-Readiness & Platform Assessment (2 Days)
An evaluation of your current data estate, migration complexity, and where your AI ambitions are blocked with a clear go-forward roadmap, delivered in two focused days.
 
 
Proof of Value (5 Days)
Hands-on implementation of a representative Finance, Claims, or Underwriting workload on a modern platform using your own data. Prove the value before committing to full migration.
 
 
BI Modernization Assessment
Evaluate your legacy reporting environment, rationalize your report inventory, and receive a migration plan with pre-built accelerator recommendations.
 
 
Client Reference Calls
Connect directly with KPI Partners insurance clients to validate our delivery capability before engaging. Available on request.
 

Standard Enterprise

AI Engagement Model

 

AI Engagement Model

 

Data Platform Migration for Modern Analytics

 

KPI DataBridge Suite is designed to help enterprises modernize their data and analytics infrastructure across:
 
BI Modernization 🔗
Data Platform Migration 🔗
Data Products 🔗

 

Group 3

 

Explore Real-World
Data Platform Migration Case Studies

 


 

BI Platform Migration

GenAI Accelerators

Databricks Accelerators

4 Infrastructure Optimizer
5 Databricks Unity Catalog Enablement
Description Text is Optional
6 Data Quality Validator for Databricks
Description Text is Optional

Snowflake Accelerators

2 Oracle / SQL Server to Snowflake Migration
3 Snowflake Cost Optimization App
4 Snowflake Security Automation App
5 Snowflake Data Governance App
Description Text is Optional
6 Data Quality Validator for Snowflake
Description Text is Optional
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