What this guide helps you evaluate
risk, finance and insurance teams selecting specialist insurance services or claims technology where collateral, valuation, claims outcomes and insurer acceptance materially affect cost. This comparison checklist helps organize a decision about claims analytics platform.
This page is designed to help you compare the moving parts, organize due diligence and ask better questions before you commit money, sign a contract or change an operating process.
Define the business outcome, decision owner, expected term and the evidence needed to validate claims data ingestion and quality.
Normalize claims data ingestion and quality, severity leakage and fraud analytics and workflow integration and reporting before comparing proposals or internal options.
Keep assumptions separate from verified facts and record the source, date and owner for material requirements.
What to compare first
- claims data ingestion and quality
- severity leakage and fraud analytics
- workflow integration and reporting
- coverage or service scope
- data and evidence quality
- fees, controls and operating responsibilities
Step-by-step process
- 01
Create one comparison column per shortlisted option and one row per mandatory requirement.
- 02
Record verified evidence for claims data ingestion and quality, severity leakage and fraud analytics, workflow integration and reporting and mark missing information instead of assuming equivalence.
- 03
Normalize one-time, recurring, usage-based and internal costs to the same time horizon.
- 04
Record contractual, security, implementation and operating exceptions with owners.
- 05
Reconcile the final matrix with finance, operations and any required professional reviewer.
Common mistakes and risk checks
- comparing price without coverage or responsibility detail
- using incomplete exposure or claims data
- failing to define collateral, reporting or insurer-acceptance requirements
- Treating a comparison checklist as a substitute for signed agreements, current official rules or qualified professional review.
Documents and evidence to collect
- current insurance program and loss history
- exposure or valuation schedules
- claims or reinsurance workflow
- broker, carrier or vendor proposal
Questions to ask before approval
- How is claims data ingestion and quality defined, measured and evidenced?
- What changes if severity leakage and fraud analytics is higher or lower than the base case?
- Which fees, exclusions, implementation tasks or operating duties sit outside workflow integration and reporting?