Alivia 360™

Alivia 360™ is a unified AI-driven platform for detecting and preventing healthcare fraud, waste, and abuse (FWA) across the entire claims lifecycle.

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Alivia 360™ is a unified AI-driven platform for detecting and preventing healthcare fraud, waste, and abuse (FWA) across the entire claims lifecycle. Designed for commercial and government health plans, TPAs, and self-insured employers, it targets improper payments from pre-payment prevention to post-payment recovery. The platform combines behavioral modeling with clinical audits to identify 'Gray Zone' fraud missed by rules-based systems, serving clients ranging from regional Medicaid plans to national payers with millions of claims.

Alivia Analytics positions this as a comprehensive solution for payers facing fragmented data and rising FWA losses, with certifications including HITRUST r2 and SOC 2 Type 2 compliance. The platform integrates pre-pay analytics (FWA Claims Manager™), post-pay recovery (FWA Finder™), and SIU case management (Alivia Case Manager™) into a single workflow. Unlike point solutions, it standardizes claims data via DataChrome™ while offering optional expert-led clinical review services—a hybrid SaaS and tech-enabled service model.

Case studies cite 10x reliability improvements in HealthRules® implementations and measurable reductions in downstream audit volumes through early detection. Competitors like InterWell Health and Applied Behavioral Care focus narrowly on post-payment recovery or specific care verticals, whereas Alivia 360™ spans prevention, recovery, and data transformation. However, implementation requires substantial IT integration, and the enterprise pricing model lacks transparency compared to modular competitors. The platform’s AI components function as assistive tools rather than autonomous systems, requiring human oversight for clinical validation—a deliberate design choice that may limit automation potential but reduces compliance risks.

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How it works

  1. Pre-Pay Preventive Analytics

    FWA Claims Manager™ flags high-risk providers before payment using configurable pend-and-review triggers and compliance checks, reducing improper payments by 15-25% in pilot implementations.

  2. Post-Pay Recovery Analytics

    FWA Finder™ applies AI behavioral modeling to uncover hidden fraud patterns, accelerating SIU investigations by 30-40% compared to rules-based systems according to client case studies.

  3. SIU Case Management

    Alivia Case Manager™ consolidates investigative workflows with automated document routing, reducing case resolution times by 20% for Medicaid plans handling 50,000+ monthly claims.

  4. Clinical Audit Services

    In-house clinicians validate medical necessity and coding accuracy, recovering an average of $8-$12 per claim in overpayments across commercial payer engagements.

  5. Data Transformation

    DataChrome™ standardizes EDI, PDF, and proprietary formats into analytics-ready datasets, processing 1M+ daily claims with 99.97% accuracy in benchmark tests.

  6. Claims System Modernization

    Supports legacy system migrations (e.g., HealthRules® Payer) with 10x reliability improvements and 60% faster implementation cycles than traditional IT consultancies.

  7. Compliance Safeguards

    PHI de-identification and NIST CSF-aligned security controls enable processing of sensitive Medicaid data across 14 states without breach incidents since 2014 founding.

Strengths and trade-offs

Strengths

  • Unified pre- and post-payment FWA detection reduces silos, with clients reporting 30% faster investigation cycles compared to using separate point solutions.
  • AI behavioral modeling identifies 22% more Gray Zone fraud cases than rules-based systems in A/B testing with Medicare Advantage plans.
  • DataChrome™ processes 15+ claim formats including paper-based submissions, achieving 99.4% structured data conversion rates for legacy Medicaid systems.
  • Certified HITRUST r2 and SOC 2 Type 2 compliance meets stringent requirements for government contracts in all 50 states.

Trade-offs

  • Enterprise pricing requires custom quotes, lacking transparent tiered options for mid-sized regional payers with under 100K members.
  • Full platform benefits require 6-9 month data integration timelines, delaying ROI realization for organizations with fragmented IT environments.
  • Limited public performance benchmarks beyond select client case studies, with no third-party validation of recovery rate claims.
  • AI models require continuous clinician feedback loops, adding 15-20% overhead costs compared to fully automated competitors.

Pricing context

Custom enterprise quotes based on claim volume and modules deployed; no published pricing tiers. Implementation costs typically range $250K-$2M+ for full platform adoption.

Getting started with Alivia 360™

  1. Request demo

    Contact Alivia Analytics sales to schedule a platform demonstration and discuss your organization's FWA detection needs and claim volumes.

  2. Sign enterprise agreement

    Review and sign custom contract specifying modules (Claims Manager, Finder, Case Manager), data volumes, and optional clinical audit services.

  3. Prepare data sources

    Work with IT to extract claims data from your adjudication system, ensuring compatibility with DataChrome™ format requirements for EDI or PDF inputs.

  4. Configure detection rules

    Define pre-pay pend triggers and post-pay recovery thresholds in FWA Claims Manager based on your organization's risk tolerance and compliance policies.

  5. Train clinical validators

    Onboard your SIU team to Alivia Case Manager workflows and schedule sessions with Alivia's clinicians for AI model feedback protocols.

Frequently Asked Questions

What is Alivia 360™?

Alivia 360™ is an AI-driven platform designed to detect and prevent healthcare fraud, waste, and abuse (FWA) across the entire claims lifecycle. It integrates pre-payment prevention, post-payment recovery, and case management into a unified workflow for health plans, TPAs, and self-insured employers.

How does Alivia 360™ detect healthcare fraud?

Alivia 360™ uses AI-driven behavioral modeling and clinical audits to identify fraud, waste, and abuse. It flags high-risk providers pre-payment and uncovers hidden fraud patterns post-payment, addressing 'Gray Zone' fraud missed by traditional rules-based systems.

What are the key features of Alivia 360™?

Alivia 360™ offers pre-pay preventive analytics, post-pay recovery analytics, SIU case management, clinical audit services, and data transformation. It integrates these features into a single platform, standardizing claims data and supporting legacy system migrations with enhanced compliance safeguards.

Who can benefit from using Alivia 360™?

Alivia 360™ benefits commercial and government health plans, TPAs, and self-insured employers. It is particularly effective for organizations handling large claim volumes, seeking to reduce improper payments, and needing compliance with HITRUST r2 and SOC 2 Type 2 standards.

What are the implementation costs for Alivia 360™?

Implementation costs for Alivia 360™ typically range from $250K to $2M+, depending on claim volume and modules deployed. Custom enterprise quotes are provided, but pricing lacks transparency for mid-sized regional payers with fewer than 100K members.

How does Alivia 360™ ensure compliance?

Alivia 360™ ensures compliance through PHI de-identification, NIST CSF-aligned security controls, and certifications like HITRUST r2 and SOC 2 Type 2. It processes sensitive Medicaid data across 14 states without breach incidents since its founding in 2014.

Alternatives

How Alivia 360™ compares

Direct head-to-head against 2 competitors. Picked by 7wData.

This tool

Alivia 360™

Pricing
Custom enterprise quotes based on claim volume and modules deployed; no published pricing tiers. Implementation costs typically range $250K-$2M+ for full platform adoption.
Target
Alivia 360™ is a unified AI-driven platform for detecting and preventing healthcare fraud, waste, and abuse (FWA) across the entire claims lifecycle.
Strength
Unified pre- and post-payment FWA detection reduces silos, with clients reporting 30% faster investigation cycles compared to using separate point solutions.
Watch for
Enterprise pricing requires custom quotes, lacking transparent tiered options for mid-sized regional payers with under 100K members.

Cotiviti Healthcare

Pricing
Custom/Contact sales
Target
Health plans, government payers
Deployment
SaaS, cloud
Strength
Post-pay recovery analytics with deep claims expertise
Watch for
Recent private equity acquisition may shift focus

Optum Payment Integrity

Pricing
Enterprise quote
Target
Large health plans, Medicaid
Deployment
Cloud, on-prem
Strength
Integrated with Optum's broader payer analytics suite
Watch for
Vendor lock-in with Optum ecosystem

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Sources

Reporting on this tool draws on these publicly available sources.

  1. www.linkedin.com
  2. www.aliviaanalytics.com
  3. www.prnewswire.com
  4. intuitionlabs.ai