Air France Speeds Up Manual Reviews by 70% With FINRECOVRA

How a Global Airline Reduced Fraud Review Bottlenecks Without Compromising Security

Overview

Air France, one of the world’s leading airlines, processes thousands of transactions daily across multiple regions, currencies, and customer profiles.

With increasing fraud attempts and growing operational complexity, their risk team faced a critical challenge:

Manual reviews were slowing down operations — and scaling wasn’t sustainable.

By integrating FINRECOVRA, Air France transformed its fraud detection workflow, reducing manual review workload by 70% while improving decision accuracy and speed.

The Challenge

Manual Reviews Were Becoming a Bottleneck

Air France’s fraud prevention system relied heavily on manual checks for flagged transactions. While effective, it created several issues:

  • High volume of flagged bookings requiring human review
  • Delays in approving legitimate customers
  • Increased operational costs and staffing pressure
  • Inconsistent decision-making across teams

At peak times, review queues grew rapidly — impacting both customer experience and revenue flow.

The Goal

Air France needed to:

  • Reduce dependency on manual reviews
  • Maintain (or improve) fraud detection accuracy
  • Speed up transaction approvals
  • Scale operations without increasing headcount

The Solution

FINRECOVRA’s Intelligent Risk Automation

FINRECOVRA introduced a multi-layered risk analysis system combining:

  • Device intelligence
  • Behavioral analysis
  • Email & phone risk scoring
  • Velocity and pattern detection
  • Global fraud data signals

Instead of sending most transactions to manual review, FINRECOVRA:

Automatically assessed risk in real time — and made confident decisions instantly.

Key Features Implemented

1. Real-Time Risk Scoring

Every transaction was evaluated instantly using hundreds of data points.

→ Legitimate users passed through seamlessly
→ Suspicious activity flagged with high precision

2. Automated Decision Engine

Transactions were automatically:

  • Approved
  • Rejected
  • Escalated (only when truly necessary)

This dramatically reduced unnecessary manual checks.

3. Behavioral & Device Analysis

FINRECOVRA identified anomalies such as:

  • Unusual booking patterns
  • Device inconsistencies
  • Suspicious session behavior

This allowed Air France to catch fraud earlier — before payment completion.

4. Smart Review Prioritization

Instead of reviewing everything, teams focused only on:

High-risk, high-value cases that actually required human judgment

The Results

70% Reduction in Manual Reviews

  • Massive decrease in operational workload
  • Faster processing across all regions

Significantly Faster Approvals

  • Legitimate customers experienced fewer delays
  • Improved checkout and booking experience

Improved Fraud Detection Accuracy

  • Fewer false positives
  • Better identification of high-risk transactions

Operational Efficiency at Scale

  • No need to expand fraud teams
  • Systems handled increasing transaction volumes seamlessly

Impact on Customer Experience

Before FINRECOVRA:

  • Customers were delayed or blocked unnecessarily
  • Friction in booking flow

After FINRECOVRA:

  • Faster approvals
  • Smoother checkout experience
  • Increased trust in the platform

What Air France Achieved

✔ Reduced manual workload by 70%
✔ Accelerated transaction approvals globally
✔ Improved fraud detection precision
✔ Scaled operations without increasing costs

Why FINRECOVRA

Traditional fraud systems rely too heavily on rigid rules and manual checks.

FINRECOVRA replaces that with:

Adaptive intelligence that learns, analyzes, and acts in real time.

Conclusion

Air France didn’t just optimize fraud prevention —
they transformed it into a scalable, automated system.

By reducing reliance on manual reviews, they unlocked:

  • Faster operations
  • Better customer experience
  • Stronger fraud protection

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