Automate routine intake and servicing
When it may fit: Manual work is common.
Evidence needed: Task volumes and time.
Trade-off: Implementation and change effort.
Insurance Intelligence Brief
The expense ratio is a bundle of costs, each with its own opportunities. Breaking it into its parts, and valuing a point of each, shows where effort pays.
Where in our operations is there room to improve, and how much is it worth?
Operational improvement tends to be pursued by instinct or by whoever has the most energy. The expense ratio can be split into claims handling, acquisition and other expenses, and each can be valued in dollars per point.
That makes it possible to rank opportunities by their size and ease before choosing where to start.
An opportunity scan has a few steps:
The goal is a short list of improvements with a dollar value and an owner.
In the synthetic insurer, Calculated the expense ratio was 29.1%, down from 29.6%, a good result in a year when the loss ratio rose from 63.2% to 68.4%. Each point of expense ratio is worth about $825,000 on this premium.
Calculated The pieces are claims adjustment at $5.90M (about 7.2% of premium), acquisition at $10.5M (about 12.7%) and other expenses at $7.60M (about 9.2%). A 5% saving in other expenses would be worth about $380,000 a year, and a 5% saving in claims adjustment about $295,000. Handling cost per claim has been steady at roughly $1,340.
Hypothesis The biggest lever on the combined ratio is not in expenses but in claims cost, which rose 20.5%. A full operational program would cover both: efficiency in service and handling, and claims management that limits severity. Information gap Process data are not in the demo. A practical start is to pick the two largest cost lines and map where time goes, looking for rework, manual handoffs and steps that add no value.
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, producer or agency data of any kind, so it is used to show the portfolio economics that agency and brokerage decisions connect to. Every figure is illustrative.
Operational improvement works best as a short, ranked list.
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 an operations opportunity scan that values each part of the expense ratio and ranks improvements.