Insurance Intelligence Brief

How to Evaluate the Cost of Rework and Repeated Processing

Every time a claim is touched again because of an error, missing information or a reopened file, it costs more. Counting those touches reveals a hidden part of handling cost.

1. The business problem

How many of our claims do we handle more than once, and what does it cost?

Rework in claims takes several forms: returned files, repeat requests for the same information, reopened claims, corrected payments and duplicated data entry. Each adds handling time and delays settlement.

Because the work is spread across many people and many small tasks, its total cost is rarely measured, though it is often a meaningful fraction of handling cost.

2. What the evidence can reveal

Measuring rework requires tagging repeat work:

  • Calculated Share of claims with at least one rework event, by type.
  • Calculated Time spent per rework event, and the cost at the average handling rate.
  • Calculated Reopen rates and the reasons.
  • Information gap Root causes: unclear forms, missing information, system issues, handoffs and training.

Rework is a signal of process failure upstream, so the aim is to prevent it, not just to process it faster.

3. Investigate the problem

In the synthetic insurer, Calculated claims adjustment expense was $5.90M, about $1,340 per claim, on roughly 4,400 claims. It grew 13.5%, in line with volume.

Illustrative An invented illustration: if 15% of claims, about 660, needed three extra hours of rework at a loaded cost of $55 an hour, the extra cost would be about $109,000 a year, roughly 1.8% of adjustment expense. That is the direct cost, and it understates the effect, because reworked claims also take longer to settle and can raise severity and complaints.

Hypothesis In a growing operation, rework often rises with volume if processes are not standardized, since new staff and new claim types bring new errors. Information gap The demo has no rework or reopen data. Even a sample review of a few hundred claims, tagging each touch as first-time or repeat, can show the order of magnitude.

4. Explore the interactive experience

Investigate it yourself.

Insurance Portfolio Explorer: a portfolio dashboard with loss, expense and combined ratios, a scenario simulator for rate, volume, frequency and severity, evidence-linked answers from APIS, and a sample brief, all on synthetic data.

The experience below is built on a synthetic insurer, “Demo Mutual Insurance.” It uses no policyholder or claims-handling data of any kind, and it has no cycle-time or workflow records, so it is used to show the financial side of claims. Every figure is illustrative.

  1. In the cost table, select Claims adjustment. How large is it compared with claims incurred?
  2. Think about what share of that is rework. What would a 10% reduction be worth?
  3. Ask APIS what additional information would help validate these conclusions.

5. Evaluate possible solutions

Reducing rework means fixing causes upstream.

Standardize intake and checklists

When it may fit: Information is missing at first contact.

Evidence needed: Common errors and gaps.

Trade-off: Needs process discipline.

Improve training and quality checks

When it may fit: Errors come from inconsistent practice.

Evidence needed: Error types by person and team.

Trade-off: Takes time.

Fix system issues

When it may fit: Data entry is duplicated.

Evidence needed: System and integration review.

Trade-off: IT cost.

Track reopens and their causes

When it may fit: Reopened claims are not analyzed.

Evidence needed: Reopen log.

Trade-off: Needs consistent coding.

6. What leadership should do next

Questions to answer

  • What share of claims is touched more than once?
  • What types of rework?
  • What does each cost?
  • What causes it?

Data to gather

  • Touch counts per claim
  • Reopen log
  • Error types
  • Time per task

Steps to take

  1. Sample and tag claims.
  2. Rank rework types.
  3. Fix the top cause.
  4. Track the rework rate.

7. Engage Two Pillars

Investigate Performance Across Your Insurance Business

Two Pillars can help carriers, agencies and brokerages investigate portfolio, claims operations, agency economics and process improvement using your own data. This demo uses no policyholder data. A good first step is a rework sample that counts and costs repeated processing in claims handling.

Sources and data notes

  • The organization, its figures, and every number in this article and its interactive experience are synthetic and illustrative. They are not real data, a benchmark, or a forecast.
  • Reviewed October 2026. This article describes an approach to investigation. It does not replace review by qualified professionals.