Question 1

What is ClaimVision?

Accepted Answer

ClaimVision is an AI claims intelligence platform for US property carriers. It turns every page of a claim into structured data before your team opens the file, and lets them question that data with the evidence attached.

"AI won't make us less human. Used well, it can make us the most human we've ever been."

Question 2

Does ClaimVision replace my claims system?

Accepted Answer

No. ClaimVision is an intelligence layer that sits on top of the systems a carrier already owns. Your core claims system remains the system of record; ClaimVision reads the documents it already holds and hands back judgement: findings, reasoning, and reconciled figures. Nothing is migrated, and your team keeps working where they work today. Carriers don't have a software shortage; they have an intelligence shortage.

Question 3

How does ClaimVision handle endorsements?

Accepted Answer

By reading them the way they were written to be read: together. Real policies are layers of amendments that change each other's meaning. ClaimVision works out what they add up to for each coverage question, and shows the reasoning: the operative clause, why it applies, and the settlement consequence in dollars. That reasoning trail is what lets a claims manager defend a decision, not just make it.

Question 4

What documents does ClaimVision read?

Accepted Answer

Every document in the claim file: the policy and its full endorsement stack, the declarations page, adjuster and inspection reports, repair estimates down to the last line item, statements of loss, proof of loss, photos with their captions and labels, and correspondence. If it's in the file, it has been read before the adjuster opens the claim.

Question 5

How accurate is it?

Accepted Answer

Here is the result we have proven: ClaimVision did a full day's reconciliation work on a real large-loss claim, done exactly, in under a minute. Every finding is cited to its clause and page, from first notice of loss to the decision letter. Broader accuracy metrics are being measured on real, undecided claims alongside the human process. We publish what we have measured, not what we hope; and when ClaimVision is not confident, it says so and puts the question in front of a person.

Question 6

Is it auditable?

Accepted Answer

Yes, completely. Every AI recommendation, every source it cited, every confidence level, and every human override is preserved. Nothing is overwritten. A regulator, reinsurer, or court can see what the system found, what it recommended, what the human decided, and why. Consistency plus documentation is also the strongest practical protection against bad-faith exposure.

Question 7

Where is our data stored?

Accepted Answer

In an enterprise-grade Microsoft Azure environment. Claim data is stored in US regions and encrypted in transit and at rest, each user sees only their own company's claims, and a carrier's claim data never trains another carrier's models. Detailed security documentation is available under NDA.

Question 8

Is our claims data used to train AI models?

Accepted Answer

Never for another carrier. Each carrier's models learn from that carrier's own data, inside its own isolated deployment, so ClaimVision gets better at your way of working: when your adjusters rule on judgment calls or override a recommendation, those rulings and any reasons they record inform how similar situations are presented to your team next time. That learning stays yours. What we learn about claims in general improves the product; your documents, data and decisions are never copied into another customer's deployment.

Question 9

How long does implementation take?

Accepted Answer

Weeks, not quarters. Because ClaimVision reads the claim documents you already have rather than requiring migration or re-platforming, a carrier can start with a parallel test on real closed or in-flight claims almost immediately. The typical path: closed-file benchmark, then live parallel test, then production use as trust is earned.

Question 10

What does it integrate with?

Accepted Answer

With the claims stack you already run, without replacing any of it. ClaimVision works from the claim documents your systems already hold: the policy, the adjuster and inspection reports, the estimate, the photos. How those documents reach ClaimVision is agreed with your team; the first step needs nothing more than a set of claim files. It returns findings, reconciled figures and decision support, and the system of record stays the system of record.

Question 11

How is ClaimVision different from other AI claims tools?

Accepted Answer

ClaimVision started with the AI rather than adding it to an existing claims platform, and it does one job: it reads the whole US property claim file and the policy before the adjuster opens it. Practically, that means depth where it matters: the fine print read and reasoned through, figures held steady from the estimate to the letter, findings that always carry their clause and dollar impact, and claims data your team can question in plain English. The adjuster decides; every recommendation and override is kept.

Question 12

Can it handle CAT volume?

Accepted Answer

Yes. Surge is where it earns its keep. Every claim gets the same careful coverage check whether it arrives on a quiet Tuesday or in the week after a hurricane makes landfall. Routine claims that check out cleanly arrive ready for a quick decision and a drafted letter, which frees adjusters' time for the complex ones. That is the difference between coping with a CAT event and drowning in it, without proportional surge headcount.

Question 13

What policy forms does it support?

Accepted Answer

US property forms: homeowners (HO-3 and related forms) and dwelling fire (DP-3 and related), including carrier-specific manuscript endorsements. ClaimVision reads the carrier's own endorsements together with the national standard forms and the state endorsements, and works out which wording governs where a state or carrier endorsement overrides the national form. It is read, reasoned through, and cited like everything else.

Question 14

What does it cost?

Accepted Answer

Pricing is by claim volume and scope, set during the pilot conversation. We'd be inventing a number to print one here. The value calculator at /resources/roi lets you model the economics on your own assumptions (claim volume, review time, leakage rate, loaded cost); it is explicitly labelled as your assumptions, not our promises.

Question 15

How do you reduce claims cycle time on property claims?

Accepted Answer

Take the waiting out of the file. Most of a property claim's cycle time is days a file spends unread, waiting for someone to work through the report, the estimate and the policy, and days between a decision and its letter. When the reading is done before the adjuster opens the file and the letter drafts from the decision, those days come off the clock.

Question 16

What is the average cycle time for a US homeowners claim?

Accepted Answer

J.D. Power's 2026 U.S. Property Claims Satisfaction Study reports an average of 40.7 days to final payment on homeowners claims. Catastrophe claims usually run longer, because the volume arrives in the same week the staffing does not change.

Question 17

What are prompt payment laws for property insurance claims?

Accepted Answer

They are state rules that set deadlines to acknowledge a claim, investigate it, accept or deny it, and pay it. The counts differ by state and change often: Florida, for example, requires residential property insurers to pay or deny within 60 days of notice, while Texas counts some deadlines in business days from receipt of the items it requested. Check each state's current statute.

Question 18

Does AI shorten claims cycle time by deciding claims for the adjuster?

Accepted Answer

Not with ClaimVision. The reading goes to the machine; the judgement stays with your people. ClaimVision shortens the wait before a decision and after it, and the adjuster still makes it.

Question 19

Does the prompt-payment clock stop during a catastrophe?

Accepted Answer

Rarely, and never for long. Some states allow limited extensions after a declared catastrophe, such as fifteen extra days in Texas or up to thirty more in Florida by regulator order, but the volume rises far faster than the deadlines move.

Question 20

What is an AI claims audit trail?

Accepted Answer

An AI claims audit trail is the record of how an AI-assisted claim decision was reached: each finding and the page or photo it came from, what the system recommended and how confident it was at the time, the human decision, the reasoning for any override, and the order it all happened in. A good one is append-only: nothing is edited in place.

Question 21

How do insurers defend AI-assisted claim decisions to regulators?

Accepted Answer

With the record made at the time, not a reconstruction. A regulator's first question is how the decision was reached; a carrier that can produce the clause, the recommendation, the confidence and the human ruling, in order and unedited, can answer it in minutes.

Question 22

Does an AI claims audit trail help with bad-faith claims?

Accepted Answer

Yes. Bad-faith claims feed on inconsistency: like claims treated unalike with nothing in the file to explain why. The same careful check on every claim, with every deviation reasoned in writing, is the strongest consistency evidence a claims organisation can hold.

Question 23

Does ClaimVision make the claim decision?

Accepted Answer

No. ClaimVision reads the file, finds the coverage traps and recommends. The adjuster decides, and when an adjuster overrides a recommendation, both readings stay in the file side by side with the reasoning.

Question 24

Does ClaimVision replace our claims system?

Accepted Answer

No. ClaimVision reads the documents your core claims system already holds and hands back findings. Guidewire ClaimCenter, Duck Creek, Sapiens or an in-house system stays the system of record, and nothing is migrated.

Question 25

What does the adjuster still do on a claim ClaimVision has read?

Accepted Answer

The adjuster decides. ClaimVision does the reading, surfaces the coverage traps with the clause and dollar impact attached, and drafts the letter from the decision. Approving, adjusting or overriding a recommendation stays with the adjuster, and every override is kept, with the adjuster's reason when they add one.

Question 26

How is a claim decision defended in a dispute?

Accepted Answer

With the record. Every finding points at the page or photo it came from, and every recommendation and human override is kept, nothing overwritten. When a policyholder, a public adjuster, a regulator or a court asks why, the answer is already written down.

Question 27

What is AI claims intelligence?

Accepted Answer

AI claims intelligence is software that reads every document in a claim file, the adjuster report, the estimate, the policy and its endorsements, and the photos, and returns findings a person can act on, each with the evidence attached. It informs the claim decision; it does not take it.

Question 28

Is AI claims intelligence the same as claims automation?

Accepted Answer

No. Claims automation moves the claim: intake, routing, straight-through payment of simple files. Claims intelligence reads the claim and shows its work, so the person deciding a complicated file has the fine print, the numbers and the evidence in front of them. Most carriers need both, for different files.

Question 29

What is the best AI claims software for property insurers?

Accepted Answer

It depends on the job you are hiring it for. For photo estimating, use a photo tool; for fraud, a fraud platform; for the system of record, your core claims system. If the job is reading the whole property file and the policy wording before the adjuster opens it, with every finding traceable to its page, that is the job ClaimVision is built for.

Question 30

Does AI claims intelligence replace adjusters?

Accepted Answer

No. The reading goes to the machine; the judgement stays with your people. ClaimVision does the reading that eats the working day, and the adjuster decides with everything in front of them.

Question 31

Do we need to replace our claims system to use AI claims intelligence?

Accepted Answer

No. You do not need to replace Guidewire ClaimCenter, Duck Creek, Sapiens or an in-house system. An intelligence layer reads the documents the core system already holds; nothing is migrated.

Question 32

What is AI property claims review?

Accepted Answer

AI property claims review means software reads every document in a property claim and returns findings for a person to decide. ClaimVision reads the loss report, the photos, the estimate and the policy before your team opens the file. Each finding carries its source and its dollar impact, and the decision stays with the adjuster.

Question 33

Does AI claims review replace adjusters?

Accepted Answer

No. The reading goes to the machine. The judgement stays with your people. Adjusters spend their hours on the calls that need a person instead of on locating, re-keying and reconciling.

Question 34

What documents does ClaimVision read on a property claim?

Accepted Answer

Every page of the file: the loss report, the inspection report, the photos, the estimate down to its last line, and the policy with everything attached to it. They are read together, so a line in the estimate can point to the clause that limits it.

Question 35

How does AI claims review shorten claims cycle time?

Accepted Answer

It removes the wait for someone to read the file. With ClaimVision the file is read before an adjuster opens it, so the first touch starts with the findings, not the paperwork. That takes waiting days off cycle time, inside the state prompt-payment clock.

Question 36

Can every AI finding be traced back to the policy?

Accepted Answer

Yes. Each finding names the document and page it came from and the clause that decides it. Every recommendation and every human override is kept in the record, so the file can answer for itself in a review.

Question 37

What is policy coverage checking on a property claim?

Accepted Answer

Policy coverage checking is confirming what the policy actually promises for this loss before the claim is paid or denied. That means the base policy and everything attached to it, read against the facts of the claim. ClaimVision does that reading on every claim and shows the adjuster each finding with its clause and dollar impact.

Question 38

How do insurers catch endorsements that change a payout?

Accepted Answer

By reading every endorsement on every claim, not only the familiar ones. Misses usually come from time pressure, not from a lack of knowledge. ClaimVision reads the whole policy before the file is opened and flags any limitation with its clause and its dollar impact on the claim.

Question 39

Does ClaimVision make the coverage decision?

Accepted Answer

No, the adjuster decides. ClaimVision brings the findings, the clause and the dollar impact, and where language can be read more than one way it sets out the options and leaves the call to a person. Any override is kept in the audit trail, with the adjuster's reason when they give one.

Question 40

How does coverage checking reduce claims leakage?

Accepted Answer

It finds the limitation before the payment goes out. Leakage often comes from a clause nobody had time to read or a payment made on the wrong basis. When every claim gets the same careful check, those findings surface with the dollar figure attached, while there is still time to act on them.

Question 41

What is claims leakage in property insurance?

Accepted Answer

Claims leakage is the gap between what the policy says a carrier owed and what it actually paid. In property claims it usually comes from missed exclusions, limits and deductibles applied wrongly, figures that do not reconcile, and recoveries nobody pursued. It is rarely one large error. It is many small ones.

Question 42

How do insurers reduce claims leakage?

Accepted Answer

Insurers reduce claims leakage by making sure every page of the file is read and every figure reconciles before payment goes out. File reviews and audits find leakage after the money has left. ClaimVision reads every page of every claim first and shows each finding with its clause and dollar impact, so the adjuster can act before payment.

Question 43

How much claims leakage will ClaimVision recover for us?

Accepted Answer

We will not invent that number for you, and you should not trust anyone who does. It depends on your book, your policy forms and your team. What we can show is a full day's reconciliation work on a real large-loss claim, done exactly, in under a minute. Model the rest on your own assumptions in the claims AI value calculator.

Question 44

Does ClaimVision decide whether a claim is paid?

Accepted Answer

No. ClaimVision finds the exclusions, limits and reconciliation errors and shows where each one came from. Your adjuster makes the decision, and every recommendation and every override is kept in the audit trail.

Question 45

How do insurers handle a catastrophe claims surge?

Accepted Answer

Most carriers handle a catastrophe claims surge by triaging, bringing in independent adjusters and accepting that some care slips. The reading is the part that does not scale: every file still has to be read before anyone can decide it. ClaimVision reads every page of every claim as it arrives, so your team spends the surge week deciding rather than reading.

Question 46

Does a hurricane stop the prompt-payment clock?

Accepted Answer

No. Some states allow a fixed extension after a declared catastrophe, but the clock keeps running. Texas, for example, extends its claim-handling deadlines by 15 days after a weather-related catastrophe or major natural disaster declared by the commissioner (Texas Insurance Code section 542.059). Check your own states' rules before the season, not during it.

Question 47

Does ClaimVision replace adjusters during a CAT event?

Accepted Answer

No. The reading goes to the machine. The judgement stays with your people. Claims that need judgement reach an adjuster with the evidence assembled and the dollar impact of each choice shown.

Question 48

When should a carrier prepare for a CAT surge?

Accepted Answer

Before the season. The worst time to evaluate surge tooling is during a surge. Trust in letting routine claims move quickly is earned against your own team's decisions, so starting early means that trust is in place when the storm lands.

Question 49

How can AI help train new insurance adjusters?

Accepted Answer

AI helps train new adjusters when every answer shows its working. ClaimVision shows the clause, the reasoning and the dollar impact behind each finding, so every live claim becomes a worked example. The adjuster still makes the decision.

Question 50

Will AI replace insurance adjusters?

Accepted Answer

Not with ClaimVision. The reading goes to the machine. The judgement stays with your people. Investigation, judgement and helping families through their worst week remain the adjuster's job, with more time for each.

Question 51

Can a new adjuster rely on ClaimVision's findings?

Accepted Answer

A new adjuster can check every finding, which is the point. Each one points to the page and clause it came from, so the adjuster reads the source before deciding. The same careful coverage check runs on a first-year adjuster's file as on a veteran's.

Question 52

How does ClaimVision help adjuster capacity?

Accepted Answer

It takes the reading off the desk. Every page is read before the adjuster opens the file, so their time goes to decisions, calls and inspections. In a storm week, that is the difference between a hard week and a lost quarter.

Question 53

Does ClaimVision integrate with Guidewire ClaimCenter?

Accepted Answer

You do not need to replace Guidewire ClaimCenter to use ClaimVision; it stays your system of record. ClaimVision works from the claim documents, so the first step needs nothing more than a set of claim files. Ask us how documents would reach ClaimVision in your environment, and we will answer for your setup rather than with a logo list.

Question 54

How long does it take to add an AI layer to a core claims system?

Accepted Answer

Weeks, not quarters, because nothing is migrated and nothing is replaced. The first step is a set of closed claim files, read by ClaimVision and compared with what your team decided. Anything closer to your workflow is scoped after that, at a pace you control.

Question 55

Do we have to migrate claims data?

Accepted Answer

No. Your claims data stays in your core system, which remains the system of record. ClaimVision works on copies of the documents it reads and keeps its own record of findings and decisions for audit.

Question 56

Can we use ClaimVision with Duck Creek, Sapiens or an in-house claims system?

Accepted Answer

You do not need to replace any of them. ClaimVision reads the claim file, not a particular platform: it works from the claim documents your systems already hold, and how those documents reach it is agreed with your team.

Question 57

How does AI claims software reduce claims cycle time?

Accepted Answer

It takes the reading off the critical path. ClaimVision reads every page of a claim before the adjuster opens the file, so the days a file waits to be read come off the cycle. The adjuster still decides, starting from the findings instead of a stack of documents.

Question 58

What ROI can a property carrier expect from AI in claims?

Accepted Answer

We will not quote a multiple we have not measured on your book. What we can show is a full day's reconciliation work on a real large-loss claim, done exactly, in under a minute, with every finding cited to its clause and page. The claims AI value calculator lets you enter your own assumptions and see the arithmetic.

Question 59

Does AI claims software mean re-platforming our core system?

Accepted Answer

No. ClaimVision is a layer on the systems you already run, so Guidewire ClaimCenter, Duck Creek, Sapiens or an in-house system stays the system of record. That keeps the investment case free of migration risk.

Question 60

Will AI replace our adjusters?

Accepted Answer

No. The reading goes to the machine. The judgement stays with your people, who approve, change or override every recommendation, and every override is kept, with the adjuster's reason when they add one.

Question 61

How does an AI claims tool help a claims manager?

Accepted Answer

It takes the reading off your team's desks. Every overnight claim is read before anyone opens it and sorted by what it needs from a person, and the hard ones arrive with the judgement calls isolated and the evidence attached. You and your team spend the day deciding.

Question 62

Can an AI claims tool help clear a claims backlog after a storm?

Accepted Answer

Yes. The reading is the part of the job that grows with the queue, and it is the part ClaimVision takes. Once your team trusts the findings, routine claims can move straight to letter, and your people spend their time on the claims that need judgement.

Question 63

How do new adjusters learn coverage with AI claims intelligence?

Accepted Answer

By asking it. Every answer comes with the clause it rests on and the reasoning that connects them, so each answer teaches the pattern. New adjusters still bring the genuinely hard questions to you.

Question 64

What happens when an adjuster disagrees with the AI?

Accepted Answer

The adjuster decides. The adjuster can add a written reason when overriding a recommendation, and both the recommendation and the override are kept in the record, nothing overwritten.

Questions carriers actually ask