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 cost planning guide 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
Set the planning horizon and baseline volume, headcount, transaction or asset assumptions.
- 02
Separate claims data ingestion and quality, severity leakage and fraud analytics, workflow integration and reporting into fixed, variable, one-time and contingent cost buckets.
- 03
Add internal labor, migration, training, advisory and compliance costs outside the quoted price.
- 04
Model base, higher-cost and lower-volume cases and identify the most sensitive input.
- 05
Convert the preferred case into an approval budget with contingency and review dates.
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 cost planning guide 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?