Pre-payment fraud prevention infrastructure

Prevent fraudulent
health reimbursementsbefore payment.

MutuGuard helps mutuelles and health insurers reduce invisible reimbursement leakage using behavioral analysis, automated member verification, and AI anomaly detection — all in the pre-payment window.

240+

Decisions / sec

98.4%

Auto-block precision

4.2s

Median latency

Built for mutuelles & health insurersSOC 2 · ISO 27001 · HDS · GDPR
Pre-payment engine · live
v3.4.1·EU-WEST-3

Real-time claim stream

64 claims / min
  • CL-2026-08714 SMS

    M. Dubois → Vision Optique Paris

    €680

    risk 84%

  • CL-2026-08713 Auto

    A. Benali → Cabinet Kiné Bordeaux

    €55

    risk 6%

  • CL-2026-08712 Blocked

    S. Laurent → Clinique Dentaire du Sud

    €1,820

    risk 93%

  • CL-2026-08711 Manual

    P. Moreau → Sourire Dentaire Strasbourg

    €980

    risk 71%

  • CL-2026-08710 Auto

    C. Fournier → Optic 2000 Rivoli

    €410

    risk 22%

Prevented this month

€218,420

↑ 14.2%vs forecast

Auto-blocked

2 184

this week

Verifications

892

83% replied

Fraud rate

3.4%

post-MutuGuard 1.0%

Median TTD

4.2s

time-to-decision

decision_log.jsonl·SHA-256 chained · audit-grade

Built with and for anti-fraud teams

MUTUELLE NATIONALEGROUPE PRÉVOYANCEASSURÉO SANTÉUNIA·MUTCOURTIER FÉDÉRAL
Why now

Health fraud leaks
after payment.

Health insurers lose billions every year to fraudulent reimbursements — inflated invoices, undelivered care, provider rings, duplicates. Estimates put the exposure at roughly €2.7B for French complementary insurers and ~€56B to healthcare fraud across Europe (ALFA and EHFCN estimates). By the time fraud is detected, the money is already gone.

Current limitation

Post-payment detection

Existing tools only alert once the transfer has gone out — recovery is slow, partial, and adversarial.

Current limitation

Static rules

Fixed thresholds miss evolving patterns: invoice mills, multi-provider rings, abnormal velocity.

Current limitation

No network view

Teams see isolated claims, never the member ↔ provider ↔ cluster graph that reveals collusion.

Current limitation

Manual verification

Calling every member doesn't scale. Without automated verification, investigation grinds to a halt.

The platform

One engine. Three layers of anti-fraud intelligence, operating in real time.

MutuGuard intercepts every reimbursement request before payment. Three modules work together to produce a defensible, traceable, explainable decision.

01 · Behavioral profiling

Member behavior, modeled continuously.

A dynamic profile per member: reimbursement velocity, care frequency, provider relationships, deviations from history.

  • Baseline model per segment (region, age, plan)
  • Detection of consumption drift
  • Rolling 90-day behavioral score
02 · Member verification

The member confirms. Payment follows.

When doubt is serious, MutuGuard sends a contextual SMS: “Did you actually receive these glasses?”. Simple answer. Clear decision.

  • SMS / email / mobile-app workflow
  • Auditable templates per insurer
  • Automatic payment hold during verification
03 · AI fraud intelligence

Anomalies, clusters, unknown patterns.

Anomaly detection, provider/member clustering, a relationship graph, and continuous learning from your decisions.

  • Anomaly engine (Isolation Forest + GNN)
  • Provider risk graph & ring detection
  • Active learning from investigation feedback
Pre-payment workflow

From incoming claim to decision: 4 seconds on average.

Every reimbursement request runs through the same deterministic, auditable pipeline. No payment is released without passing through MutuGuard.

Integration via REST API, SFTP batch, or TPA / health-software connectors.
Decisions returned as signed JSON: approve, block, review, verify.
Chained cryptographic trail for audit (DPO, regulators).

Claim ingested

API · TPAdmin · SFTP

0.0s

Behavioral profiling

Member baseline · velocity

0.6s

AI risk score

Anomaly + supervised + cluster

1.2s

Decision router

Approve · Hold · Verify · Block

1.4s

Member verification

SMS · email · push

+

Final decision

Signed JSON · audit log

4.0s
Auto-approve
Manual review
Verify member
Auto-block
Platform capabilities

A complete infrastructure for anti-fraud teams.

Explore in the demo

Real-time scoring engine

240+ decisions per second, p99 latency < 80 ms. Decision returned before the payment batch goes out.

Provider risk graph

Interactive visualization of member ↔ provider links. Automatic detection of fraud rings.

Explainable AI

Every decision comes with the top risk features, in plain language, ready for the investigator or a regulator.

Verification studio

Localized SMS / email / push templates, member variables, and multi-stage workflows.

Investigator workspace

A dedicated console: timeline, linked claims, AI recommendation, one-click action, case handoff.

Audit-grade trail

Chained decisions (SHA-256), exportable. Built for DPOs, internal compliance, and regulatory review.

Modular fraud rules

Combine business rules, the anomaly engine, and supervised models. Versioning and A/B testing across all of them.

Decision orchestrator

Multi-team routing: auto-approve, hold, verification, investigation escalation, broker notification.

RBAC & SSO

Fine-grained roles (ops, investigator, compliance, exec). SAML / OIDC SSO, user-level audit.

ROI

€2.3M recoverable per year for a 250k-member insurer.

MutuGuard targets the preventable share of fraud: inflated amounts, undelivered care, duplicates, rings. A conservative model on production-observed rates yields an ROI of > 12× in the first year.

Open the ROI simulator

Reference insurer · 250,000 members

Conservative assumptions

Monthly volume

65,000 claims

Average amount

€145

Observed fraud rate

3.4%

MutuGuard prevention rate

71%

Platform cost

€14,500 / mo

12-month projection

€2,304,600

fraudulent reimbursements prevented

Net savings (year)

after platform cost

€2,130,600

ROI multiple

13.2×

Break-even

2.3 months

Security & compliance

Built from the ground up for the European insurance environment.

HDS hosting, end-to-end encryption, per-tenant isolation, and SSO-controlled access. MutuGuard never stores bank details or sensitive medical data it doesn’t need.

Strict tenant isolation

Logical sharding + per-insurer encryption. No cross-tenant access.

Pseudonymization

PII masked for the models. Real values only on the authorized ops side.

Immutable audit

Timestamped, hash-chained, exportable decisions.

Compliance

HDS, GDPR, ACPR / EIOPA alignment.

For risk & compliance leaders

“MutuGuard finally gives us a single control point before payment. What used to take 30 days post-payment is now settled in 4 seconds — with a defensible trail.”

DC

Head of Compliance

National health insurer · 240k members

Ready to stop the leak?

Measure the fraud slipping under your radar.

Launch the demo in 30 seconds, or request a free analysis of 3 months of your anonymized reimbursements.