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.
Insurance Intelligence Brief
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.
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.
Measuring rework requires tagging repeat work:
Rework is a signal of process failure upstream, so the aim is to prevent it, not just to process it faster.
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
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.
Reducing rework means fixing causes upstream.
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.