AI-Powered Claims Intake for Insurers

360 MailStream™:
Intelligent Claims Document Ingestion

Transform Your Claims Intake with Automated Insurance Claims Technology

Every claim starts with documents — PDFs, faxes, emails, attachments, handwritten notes, and more.
360 MailStream™ brings intelligent document processing directly into your claims ecosystem, using automation and AI to ingest, classify, and structure unstructured claim data with speed and precision.

Our platform shows how automated insurance claims intake should work — enabling downstream workflows like review, evaluation, and adjudication to begin faster, more consistently, and with less manual rekeying than ever before.

With built-in accuracy, transparency, and optional Human-in-the-Loop oversight, 360 MailStream empowers claims teams to reduce backlog, accelerate time to decision, and improve operational efficiency.

How it Works

360 MailStream™ intelligently ingests any type of unstructured claim documentation and converts it into structured, ready-to-use data at scale — eliminating manual intake bottlenecks and preparing files for automated review tools like 360 DemandReview™ and 360 MedReview™.

Benefits for Claims Operations

Reduce Intake Cycle Time
Get claim files review-ready in minutes instead of hours.
Eliminate Manual Entry Errors
Improve data quality and reduce rework.
Accelerate Downstream Automation
Enable tools like DemandReview and MedReview with structured data earlier.
Increase Adjuster Productivity
Free your team from repetitive tasks so they focus on decisions, not data.

15m

Million pages processed by major carriers, TPAS, and MGAs

80%

Reduction in adjuster review times

API

Ready for seamless integrations.

Schedule a Demo

360 MailStream™ is your gateway to faster, smarter, and more consistent claim intake — laying the foundation for faster settlements, tighter reserves, and lower loss adjustment expenses.

Recent Insights for AI in Insurance

The Accountability Question Most Automated Insurance Claims AI Still Can’t Answer

Why “Who decided this and why?” Is Now a Baseline Requirement in Automated Insurance Claims Artificial intelligence is rapidly transforming automated insurance claims . From intelligent document ingestion to medical bill review and demand evaluation, carriers are adopting AI to move faster, reduce costs, and scale without adding headcount. But amid the excitement around automation, one uncomfortable question keeps surfacing: “Who decided this — and why?” For many insurers dep

Designing an AI-Ready Salesforce Financial Services Cloud for Scalable Growth

Why Over-Customization Is Blocking AI Adoption — and How to Fix It By SCI360, a division of 360 Intelligent Solutions In financial services cloud projects, failure rarely happens because of the platform. It happens because of scope. More specifically: over-customization disguised as innovation . Across banks, insurance carriers, MGAs, and fintech organizations, we repeatedly see the same pattern: teams begin with a modern cloud implementation, but gradually layer in exception

Medical Claims Review Automation Fails Without Structured Evidence

Unstructured records lead to inconsistent outcomes. Structured, source-backed reviews change that. Medical review is supposed to create clarity. Too often, it does the opposite. Claims teams are handed hundreds—sometimes thousands—of pages of medical records: PDFs, faxes, handwritten notes, imaging reports, lab results, and prior reviews. The information exists, but it isn’t organized for decision-making. As a result, even experienced clinicians and adjusters arrive at differ