Medical Fraud Filing Assistant
Medical Fraud Filing Assistant
This AI agent provides citizens with a secure, guided channel to report suspected medical fraud, waste, and abuse directly to state attorneys general and Medicaid fraud control units. Modeled on intake workflows used by offices like the Indiana Attorney General's Medicaid Fraud Complaints division, it captures complainant details, provider information, and specific fraud allegations through a structured conversational flow that replaces lengthy government web forms with a faster, more accessible experience.





Medical Fraud Filing Assistant
Deploying an AI agent for medical fraud intake increases complaint volume, accelerates case processing, and helps agencies recover more funds lost to fraud.
The U.S. Department of Health and Human Services estimates that healthcare fraud costs the federal government between $60 billion and $90 billion annually, yet the vast majority of fraud goes unreported. Complex government web forms — some requiring 15-20 fields across multiple pages — create friction that discourages citizens from completing complaints. Government web forms see abandonment rates as high as 70% for complex submissions. A conversational AI agent that guides complainants through the process in under 10 minutes removes this barrier, helping Medicaid Fraud Control Units receive a more complete picture of fraudulent activity in their jurisdiction.
Manual intake of fraud complaints — whether by phone, mail, or unstructured web form — typically requires an analyst to read, classify, and enter the complaint into a case management system, a process that can take 20-30 minutes per submission. An AI agent that collects pre-classified, structured data reduces this triage time by 60-75%, allowing investigators to spend their time on actual investigation rather than data entry. The State of Indiana's experience with Tars is instructive: their INBiz program saved over $500,000 and reduced inbound calls by more than 4,000 per month after deploying conversational AI for citizen services.
In fiscal year 2023, state Medicaid Fraud Control Units collectively recovered over $1.9 billion in criminal and civil settlements according to the HHS OIG. The volume of actionable complaints directly influences recovery outcomes — investigators cannot pursue fraud they do not know about. By lowering the barrier to reporting and ensuring that submitted complaints contain the structured details investigators need, an AI-powered intake channel helps agencies build stronger cases faster. Agencies that implement 24/7 digital reporting channels have documented 20-35% increases in complaint submissions compared to business-hours-only phone and web form intake.

Medical Fraud Filing Assistant
features
Every feature addresses the specific requirements of government fraud intake, from evidence collection to whistleblower privacy.
The agent automatically classifies complaints into standard healthcare fraud categories recognized by Medicaid Fraud Control Units (MFCUs) — billing fraud, kickbacks, unbundling, phantom patients, identity theft, patient abuse or neglect, and prescription drug diversion. This structured taxonomy matches the classification frameworks used by the HHS Office of Inspector General, allowing investigators to triage incoming complaints faster and identify patterns across multiple reports targeting the same provider or facility.
Healthcare fraud whistleblowers face real risks of retaliation, particularly employees reporting fraud within their own organization. This agent supports fully anonymous submissions where no personally identifiable information is required, as well as confidential submissions where contact details are collected but protected. This dual-track approach aligns with False Claims Act qui tam provisions and state-level whistleblower protection statutes, encouraging reporting from insiders who might otherwise stay silent.
Fraud complaints often involve sensitive documentation — Explanation of Benefits statements, billing records, photos of facility conditions, or correspondence with providers. The agent supports secure file uploads within the conversation, with all data encrypted in transit and at rest. Tars is SOC 2 Type 2 compliant, ISO certified, and HIPAA compliant, meeting the data protection standards required for handling protected health information (PHI) and personally identifiable information in a government fraud investigation context.
Completed fraud complaints can be pushed directly into case management and records systems through Tars integrations with Zapier, webhooks, Google Sheets, and custom API connections. For state attorneys general offices and MFCUs that use platforms like Tyler Technologies, CivicPlus, or OpenGov, webhook-based integrations ensure that complaint data arrives in the correct format for existing investigative workflows. Automated routing rules can assign complaints to specific investigators based on fraud type, geographic region, or provider entity.
Medical Fraud Filing Assistant
Citizens file structured fraud complaints in three steps, replacing complex government forms with an accessible conversational flow.
Medical Fraud Filing Assistant
FAQs
The agent accepts complaints across all major healthcare fraud categories, including Medicaid billing fraud, provider kickbacks, unbundling of services, phantom billing for patients never seen, prescription drug diversion, patient abuse or neglect in healthcare facilities, and identity theft involving medical insurance. It can also capture complaints about providers billing for medically unnecessary procedures or upcoding the severity of treatments.
Yes. The agent supports both anonymous and confidential reporting modes. Anonymous submissions do not require any personally identifiable information. Confidential submissions collect contact details but protect them under applicable whistleblower statutes. This dual-track approach is designed to encourage reporting from healthcare employees and insiders who may fear retaliation, consistent with False Claims Act qui tam protections.
Tars is SOC 2 Type 2 compliant, HIPAA compliant, ISO certified, and GDPR compliant. All data is encrypted in transit and at rest. Agencies can configure role-based access controls, set data retention policies aligned with their state's records retention schedules, and maintain full audit logs of all interactions. These security controls meet the standards required for handling protected health information and sensitive fraud investigation data.
Tars connects with case management platforms through webhooks, Zapier, Google Sheets, and direct API integrations. For agencies using government-specific platforms like Tyler Technologies, CivicPlus, or OpenGov, webhook-based integrations route completed complaints directly into existing investigative workflows. Automated routing rules can assign cases to specific investigators based on fraud type, geographic region, or provider entity.
Most government agencies can have this agent live within days. The conversational flow is pre-configured for standard healthcare fraud categories and complaint intake fields used by Medicaid Fraud Control Units. Tars provides a no-code interface for customizing questions, adjusting fraud categories, modifying routing rules, and adding agency-specific intake requirements. No IT development resources are required for initial deployment.
Yes. The agent supports secure file and image uploads within the conversation. Citizens can attach Explanation of Benefits statements, billing records, photographs of facility conditions, correspondence with providers, or any other supporting documentation. All uploaded files are encrypted and stored securely, then included with the completed complaint when it is routed to investigators.
The agent can be deployed on government agency websites, dedicated complaint portals, or as a direct link shared through public awareness campaigns and social media. It is fully responsive across smartphones, tablets, and desktop browsers. Tars also supports deployment via WhatsApp and SMS for agencies that want to offer additional reporting channels beyond their website.
The Missouri Secretary of State automated over 200,000 customer service conversations using Tars. The State of Indiana's INBiz program saved more than $500,000 and reduced inbound calls by over 4,000 per month. Workforce Solutions of Central Texas fully automated their L1 citizen support online. Across government deployments, Tars maintains a 4.7/5 rating on G2. Gartner predicts that 80% of governments will deploy AI agents for routine decision-making by 2028.








































Privacy & Security
At Tars, we take privacy and security very seriously. We are compliant with GDPR, ISO, SOC 2, and HIPAA.