Add capacity at the constraint
When it may fit: One role or stage is overloaded.
Evidence needed: Queue and workload data.
Trade-off: Hiring and training time.
Insurance Intelligence Brief
How to Identify Operational Bottlenecks in Claims Handling
A claims operation is limited by its scarcest resource: adjusters with the right skills, an approval step, or a system. Finding the constraint shows where improvement will pay.
1. The business problem
What is limiting how many claims we can handle well?
When claims volume rises, the operation strains somewhere: assignment, investigation, approvals or payment. Added effort elsewhere does not help, because the constraint sets the pace.
Finding it requires seeing where claims queue and which roles are at capacity.
2. What the evidence can reveal
Bottleneck analysis uses a few measures:
- Calculated Claims in each stage, and how long they wait.
- Calculated Workload per adjuster and by skill type.
- Calculated Volume trends, including peaks from events such as storms.
- Information gap Approval authority limits, system constraints and vendor response times.
A stage with a growing queue and fully loaded staff is the likely constraint.
3. Investigate the problem
In the synthetic insurer, Calculated claim frequency rose 9.5% and, with policy growth, implied claim counts rose about 13%, from about 3,900 to about 4,400. If staffing did not rise by a similar amount, workload per adjuster rose in proportion.
Illustrative An invented illustration: if 20 adjusters handled 3,900 claims, or 195 each, the same team handling 4,400 would have 220 each, a 13% increase. If the team’s comfortable load were 200 claims each, the operation would now be over capacity by about 10%, and queues would form somewhere in the process.
Calculated Claims adjustment expense rose 13.5%, in line with volume, which suggests that staffing may have risen only as fast as claims, and perhaps not faster. Hypothesis In that case there would be little slack to absorb an event such as a storm. Information gap Workload, staffing and queue data are not in the demo. The first step is to measure each stage’s queue and each adjuster’s load, by claim type.
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.
- Click the Claims frequency card. How much more work is that for the claims team?
- In the Scenario tab, raise frequency by 10%, a stand-in for a storm. Note the profit effect and think about the workload.
- Ask APIS what additional information would help validate these conclusions.
5. Evaluate possible solutions
Relieving a bottleneck means adding capacity or removing work at the constraint.
6. What leadership should do next
Questions to answer
- Which stage has the longest queue?
- Who is over capacity?
- How do events change the load?
- What can be removed from the constraint?
Data to gather
- Queue by stage
- Adjuster workload
- Event volumes
- Task analysis
Steps to take
- Measure queues.
- Identify the constraint.
- Relieve it.
- Re-measure.
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 claims flow analysis that finds the constraint and sizes surge capacity.
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.