Sumarity
Insurance

Claims fraud indicator review

Reads claims, the indicators the team uses. Produces referred or cleared claims. Code works out every figure, the Judgement Engine answers the narrow questions, and whatever stays uncertain goes to a person.

Checked by the outcomeScreening, audit and compliance
What it decides

Narrow questions, each with a check behind it.

Indicators present and explained

Checked by the outcome. The truth arrives later: a payment, an appeal's result. Until the measured record earns more, people review a sample of what settles.

ReadsClaims, the indicators the team uses
ProducesReferred or cleared claims
Who signsA person on your team, with every figure traced to its document and every call on record
ProcessScreening, audit and compliance
IndustryInsurance
See it run

Every line, decided where it's safest.

An example run. Each stage lights up as a line is decided there; pick a stage to see its lines.

Claims fraud indicator review · example run Example run
RefItemValueDecided by
CL-71Claim 3 days after inceptionIndicator present, explained by a new car · 0.90Engine · settled
CL-72Invoice from a closed companySupplier deregisteredTo a person
CL-73Third claim this yearDifferent perils, all paid properly · 0.89Engine · settled
CL-74Photos with old metadataTaken before the loss dateTo a person
CL-75No indicatorsProceedCode · clear
Settled 3 To a person 2 Settled wrong 0
Illustrative lines. Amber rows are the Judgement Engine's calls; each settles only above its cutoff and when its check agrees.
What it could save

Your volumes in. Your hours out.

In our tests, between 24% and 42% of items still went to a person after tuning. Set your own share; a pilot measures it on your data.

By hand today80 ha month
With Sumarity24 ha month, for the items people decide
Saved56 hCHF 53,760 a year
Questions

What buyers ask

What happens when Sumarity isn't sure?

Nothing settles below the cutoff, or when the check disagrees. The item goes to a person in the inbox with what the engine saw, its best answer and the runner-up. The person's ruling is kept and tunes the next run.

How are its judgements checked?

The truth arrives later: a payment, an appeal's result. Until the measured record earns more, people review a sample of what settles.

Can we change it to fit how we work?

Yes. Start from this workflow and describe your differences in plain words. The design assistant revises it, the validator checks it, your expert reviews it on the canvas, and your admin publishes it.

Does it read our files as they are?

Yes: spreadsheets and CSV in any layout, PDFs, bank formats and e-mail attachments. Sumarity suggests how each column maps, proves the mapping on a sample and remembers it once a person confirms it.

Where does our data go?

Sumarity runs in Zurich. Your data, backups and logs are stored in Switzerland.

How does it get better?

Your team's rulings become an answer key. Better questions and cutoffs are proposed, tested on data they haven't seen, and published only when your admin approves. It improves itself, with permission.

Start from this workflow. Run it on your data.

A pilot runs alongside your own process for a few weeks, at our cost, and ends in a line-by-line comparison.