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ALFRED - AI Health Claims Automation

Artivatic.ai · Operations & Productivity

SaaSNo attestation published

Certification per Microsoft Marketplace.

health claimsai claims automationcashless and post dischargeclaims
Provenance reach4 of 12 layers traced

Evidence tier Source Confirmed · 9 captures on record

User ratingNot rated0 reviews on the listing
Runs onSaaSSaaS
ProvenanceUnknown44% 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.

ALFRED is an advanced platform designed for seamless health claims processing, offering instant claim resolution, hassle-free filing via mobile or web, and AI driven instant decision-making capability. This fully automated, touchless, end-to-end solution efficiently manages both cashless claims (planned and emergency) and post-discharge reimbursements, enabling insurers and Third Party Administrators (TPAs) to optimize their operations.

Smarter, Customer-Centric Claims Processing Solution

Show the rest of the publisher’s description (14 more lines)

Leveraging OCR, ICR, and AI, Alfred automates claims processing by analyzing medical bills, advanced medical reports, lab test reports, hospital papers, invoices, and claim forms for accurate assessment and settlement. Customers / Hospitals / TPAs can file claims seamlessly via mobile or web, uploading required documents for instant processing. Alfred applies AI-driven ICD medical coding, auto-adjudication, fraud (FWA) detection, and medical relevancy checks. It ensures policy validation, treatment compliance (STG), and fraud prevention, leading to faster settlements, reduced costs, and improved transparency. Alfred transforms claims management into a seamless, intelligent, and hassle-free process.

Key Challenges in the Health Insurance Ecosystem

  • Lack of End-to-End Transparency: Limited visibility throughout the claim's lifecycle—from claim filing to decision/payout — leading to customer / provider dissatisfaction
  • Slow and Complex Claims Processing: Traditional manual workflows delay approvals and settlements, frustrating stakeholders.
  • Challenges in Fraud Detection: Manual methods struggle to detect fraudulent claims or accurately assess risks, exposing insurers to financial losses.
  • Poor Customer Experience: Complicated filing processes and a lack of real-time updates leave policyholders dissatisfied during critical times.

Key Benefits and Proof Points

  • 100% cases go through 20+ different Fraud, Waste, and Abuse (FWA) checks to ensure comprehensive identification and prevention.
  • 12% to 18% Cost Savings: Achieved by replacing manual processes with automated, touchless operations.
  • 50% to 70% Time Saved: Significant reduction in turnaround time (TAT) for claims processing.
  • 85% Increase in Automation and Digitization: Transforming manual workflows into seamless, AI-driven processes.
  • OCR/ICR Accuracy: 99% accuracy for printed text and 90% for handwritten documents.
  • Digitized claims and medical data powers smarter insights—enhancing early claim prediction, suggesting proactive care, enhancing intelligence for underwriting / adjudication and many more.How to Start

Click on 'Get It Now' button to start with your pay as you go or enterprise plan or contact us here for a live demo here.

Preview

3 images
ALFRED - AI Health Claims Automation preview 1ALFRED - AI Health Claims Automation preview 2ALFRED - AI Health Claims Automation preview 3

Agent build and provenance

See the full provenance

The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.

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

CompanyArtivatic.aiAutomated

Plans and pricing as listed

2 listed
Pay as you go_updated
$25.00/user/month
1-month subscription
Enterprise_Licensing_Updated
$15.00/user/month
ALFRED's Health Claims Platform provides end to end platform as licensing for 3-5 years or lifetime.

Sources

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

Publisher resources

6 links
Supportartivatic.aiSource
ALFRED Health Claims Product Sheetcatalogartifact.azureedge.netSource
ALFRED Health Claims TPA Case Studycatalogartifact.azureedge.netSource
ALFRED Claims Product Presentationcatalogartifact.azureedge.netSource
Health Claims Case Studyblog.artivatic.aiSource
Health Claims Technologyblog.artivatic.aiSource

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
Paid
2 plans listed
Delivery
SaaS
https://artivatic.ai/contact-us
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