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TAZI Claim Fraud Detection Solution™

TAZI AI Systems, Inc. · Intelligence & Research

SaaSNo attestation published

Certification per Microsoft Marketplace.

claim fraudauto insurancemachine learning
Provenance reach3 of 12 layers traced

Evidence tier Source Confirmed · 7 captures on record

User ratingNot rated0 reviews on the listing
Runs onSaaSSaaS
ProvenanceUnknown33% of the provenance layers this product can disclose
Evidence riskHighSign in to see the basis for this band.

What the publisher says

As described on Microsoft Marketplace.

Detect Fraud Patterns, Prevent Loss of Wealth.

Detection of fraud patterns and root causes in auto insurance claims is not easy. Fraud exists, but it is time-consuming and difficult to identify what is fraudulent. Using batch machine learning, new fraud cases are impossible to catch. Many different variables need to be used together for effective fraud detection.

Show the rest of the publisher’s description (11 more lines)

Using TAZI patented technologies, spend less time on clean claims, detect possible fraudulent claims more effectively.

Detecting Continuously Changing Fraud Patterns

Continuous Learning for taking the right preventive actions at the right time with a robust continuously learning AutoML platform.

Reducing False Alarms

You can allow your knowledge of the industry to be integrated into machine learning through our Learning from Human functionality, which allows to adopt dynamic changes with domain expert’s feedback in addition to continuous learning capability. Experts can explore and correct the fraud model. Claims managers spend less time on clean claims and can concentrate more on the suspects.

Learn Root Causes of Fraudulent Transactions

Understandability for interactive and actionable explanations to expert teams. Auto Insurance professionals have access to visual sunbursts that allow them to understand which claim and why is fraudulent and take specific actions that will be logged in the system.

Business Usable AutoML Solution

Auto-Insurance professionals can now use machine learning safely and easily. You can build your models in minutes or integrate your existing Python models to further boost performance and your team’s efficiency. Also, customizable ML Dashboards allows each user to keep track of their key indicators.

All this built on self-maintaining algorithms, allowing accuracy to be maintained over time with no need for costly maintenance.

At a time when we are surrounded by uncertainty, let TAZI Claim Fraud Detection help you to prevent loss of wealth.

Preview

4 images
TAZI Claim Fraud Detection Solution™ preview 1TAZI Claim Fraud Detection Solution™ preview 2TAZI Claim Fraud Detection Solution™ preview 3TAZI Claim Fraud Detection Solution™ preview 4

Agent build and provenance

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Compliance

Government
  • FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27

Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.

Vendor

External enrichment

CompanyTAZI AIAutomated

Sources

Marketplace listingmarketplace.microsoft.comSource
Privacy PolicyPrivacy PolicySource
License TermsLicense TermsSource

Publisher resources

4 links
TAZI Claim Fraud Detection Solution One Pagercatalogartifact.azureedge.netSource
TAZI Claim Fraud Detection Solution Demo Requestwww.tazi.aiSource
Tazi Claim Fraud Business Demowww.youtube.comSource

Linked repositories

RepositoriesUnknownUnknown

Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.

Pricing
Unknown
Not stated
Delivery
SaaS
https://taziml.atlassian.net/servicedesk
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