InsureVerify AI
Global Tech Teams (DBA Mindbowser) · Operations & Productivity
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
Healthcare providers, billing teams, and telehealth organizations spend enormous time and resources on pre-visit insurance eligibility checks. Manual verification processes are error-prone, lead to last-minute surprises at the front desk, and result in costly claim denials. InsureVerify AI, from Mindbowser, is a professional services offering designed to transform this process by combining AI automation with AWS services to deliver faster, more reliable, and scalable insurance eligibility verification.
**How It Works**
Show the rest of the publisher’s description (28 more lines)
InsureVerify AI automates outreach to patients before their appointments—via phone, SMS, or chat—to confirm insurance details, detect coverage gaps, and flag discrepancies early. The solution integrates seamlessly with your EHR system, payer APIs, and existing workflows. By leveraging AWS cloud-native services, InsureVerify AI ensures secure, scalable, and highly available operations across healthcare environments.
**AWS Services Utilized**
Amazon Connect – Enables automated, multi-channel patient engagement through voice and chat. Patients receive reminders to verify insurance information, ensuring proactive communication.
- AWS Lambda – Orchestrates verification workflows, connects with payer APIs, and automates decision-making without requiring dedicated servers.
- Amazon Comprehend – Applies natural language processing (NLP) to parse unstructured documents, payer responses, and patient inputs for accurate data extraction.
- Amazon RDS / Amazon DynamoDB – Stores eligibility records, verification results, and audit logs with high security, reliability, and HIPAA-ready capabilities.
- Amazon S3 – Maintains secure data archives, logs, and historical verification reports for compliance and audit purposes.
- Amazon QuickSight (optional) – Powers dashboards for monitoring verification status, claim denial trends, and operational KPIs.
**Key Features and Capabilities**
- Automated patient outreach: Uses Amazon Connect to contact patients prior to their appointments to confirm policy details.
- Real-time verification: Validates insurance coverage and policy status instantly through payer API connections.
- Discrepancy detection: Flags mismatches or gaps early so billing staff can address them before service delivery.
- AI-generated summaries: Creates easy-to-read eligibility summaries for billing teams using NLP.
- Customizable workflows: 40% prebuilt framework with 60% tailored to your organization’s unique workflows, built on AWS Lambda functions.
- Monitoring dashboards: Provides real-time status views and insights powered by QuickSight and S3 data lakes.
**Business Impact**
- Reduced claim denials: Customers report up to 35% fewer denials by addressing insurance issues upfront.
- Decreased administrative workload: Reduces pre-check-in call efforts by nearly 50%, freeing staff for higher-value work.
- Accelerated patient check-ins: Eliminates front-desk delays and enhances patient experience.
- Improved revenue integrity: Ensures first-pass claim acceptance and faster reimbursements.
**Security and Compliance**
Mindbowser delivers InsureVerify AI following AWS security best practices. All data is transmitted and stored using encryption, with access restricted via AWS IAM policies. The solution is architected to align with HIPAA compliance requirements, making it safe for handling PHI (Protected Health Information). Customers retain full control of their data, with Mindbowser operating only through approved, secure access models such as cross-account IAM roles.
**Who It’s For**
- Hospitals and Clinics – Automate insurance verification and reduce bottlenecks at registration.
- Telehealth Providers – Pre-validate insurance for virtual visits to avoid claim disputes.
- Revenue Cycle Management (RCM) Teams – Improve billing efficiency and reduce administrative overhead.
**Why Mindbowser**
As an AWS Partner with deep expertise in healthcare AI and interoperability, Mindbowser brings proven implementation experience, from EHR integration to payer API connectivity. Our team has delivered AI-driven healthcare solutions across the U.S., helping organizations achieve measurable outcomes while staying compliant with strict healthcare regulations.
Highlights
Highlighted by the publisher on AWS Marketplace.
Automated pre-visit insurance verification—voice/chat outreach that pre-empts denials
Real-time eligibility insights—integrated dashboards and AI summaries for billing and admin
Configurable & compliant—40% ready-to-use + 60% customizable; integrates via FHIR/HL7 and supports primary, secondary, Medicaid/Medicare plans
Agent build and provenance
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Compliance
- 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 · as of 2026-08-29
Sources
Linked repositories
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.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.

