Empower investigations with the Fraud Management Module!

Build your own human-centric interactions
Spend Personality Module

The Fraud Management Module is designed to detect, prevent, and mitigate fraud in real-time across multiple touchpoints. By analyzing behavioral patterns, transactional data, and interaction histories, it delivers accurate and timely alerts for suspicious activities, enabling swift interventions. With adaptive learning to combat evolving fraud tactics, seamless integration into existing systems, and a low-code environment for ease of use, the module safeguards revenue, enhances customer trust, and streamlines investigations—making it an indispensable tool for modern fraud prevention.

Overcome key obstacles by mastering detection strategies

Our module prioritizes high-risk cases, providing investigators with actionable insights and tools to streamline the investigative process.
Fraud tactics change rapidly, but our adaptive learning capabilities continuously update detection models using new data.

Our AI-driven algorithms analyze transactional patterns and provide accurate context, minimizing false positives.

With real-time detection and alerts, our module flags or blocks high-risk transactions instantly, allowing you to act swiftly and prevent potential losses.

Our graph-based analysis uncovers hidden relationships and patterns in datasets, making it easier to identify and dismantle sophisticated fraud networks and syndicates.

Our module integrates effortlessly with your existing systems using APIs and pre-built tools, ensuring a smooth setup with minimal operational disruption.

Tailored fraud management across industries

Banking & Financial Services

Detect and score suspicious account activities and transactions in real-time, with advanced AML capabilities to uncover hidden fraud networks.

Telecommunications

Monitor usage patterns to detect SIM swaps, subscription fraud, and service abuse while tracing large-scale fraud syndicates.

Healthcare

Detect billing anomalies, uncover provider fraud, and monitor patient interactions to safeguard against benefit and prescription misuse.

Insurance

Flag anomalies in claims data, identify repeated fraud patterns, and prioritize high-risk claims for review before payout.

Ecommerce & Retail

Identify fraudulent transactions, block misuse of promotions, and analyze customer behavior to prevent chargebacks and identity fraud.

Hospitality

Prevent fraudulent bookings, validate high-value transactions, and block loyalty program abuse in real-time.

Fraud Management in action!

  • Identify fraudulent transactions in real-time across platforms
  • Flag anomalies before they escalate
  • Use graph-based algorithms to reveal hidden connections
  • Assign fraud risk scores for prioritization
  • Predict the likelihood of fraud in future transactions using ML
  • Tailor fraud detection models to industry-specific risk factors
  • Send instant alerts for flagged activities to investigators

  • Prioritize high-risk cases, enabling effective resource allocation

  • Track suspicious customer or employee activity using AI

Use our custom GPTs to learn more about our Modules and how to use them!

Implement Fraud Management prediction cases to empower your investigations team!

Identification & Detection

Identify suspicious transactions or behaviors using historical data and rule-based systems to flag potential fraud early.

Pattern Recognition & Analysis

Analyze complex data patterns and relationships to uncover fraudulent schemes and hidden connections.

Predictive Modeling & Risk Scoring

Assign fraud likelihood scores to transactions or entities, enabling prioritization of investigations based on risk levels.

Real-Time Intervention & Decision Support

Provide real-time alerts and recommendations to fraud teams, enabling swift action against suspected fraud.

Complex Syndicate Analysis & Intervention

Detect and disrupt organized fraud networks by analyzing large datasets and predicting syndicate behaviors.

Activate Fraud Management in the
Prediction Platform!

The first low-code environment to combine behavioral
social science with real-time machine learning.

The Fraud Management Module delivers using the ecosystem.Ai Prediction Platform for real-time engagements. The platform combines behavioral social science with advanced AI/ML capabilities.

Trusted by industry leaders

Vodacom
Tsogo-sun
Safaricom
Medscheme
FNB
Discovery
AfroCentric Group

Take control with real-time fraud detection

Stay ahead of fraud with instant detection and action powered by real-time AI.

  • 1

    Real-time AI identifies and blocks suspicious transactions the moment they occur.

  • 2

    Behavioral analysis detects anomalies in payments, access patterns, and user behavior.

  • 3

    Automated interventions provide immediate responses, such as blocking transactions or sending verification prompts.

  • 4
    Use the Fraud Management Module to ensure your team can prevent fraud proactively, reducing risks before they escalate.

Simplify investigations with explainable dashboards

Behavioral Predictions business dashboards
Real-time customer engagement dashboards

With intuitive, explainable dashboards, the Fraud Management Module turns complex data into actionable insights.

Visualizations highlight risk scores, trends, and anomalies across accounts, locations, and behaviors, making it easy to identify potential fraud. Investigators can drill down into flagged activities to review detailed evidence, prioritize cases, and focus on the most critical risks.

AI-powered customer insights

Dynamic data lookup using natural language

The Fraud Management Module includes a generative component. Use it to make natural language data queries, learn more about possible fraud personalities, chat with the system, and so much more.

Make smarter decisions with behavioral analytics

Behavioral Insights

The Module allows you to compare real-time actions against historical norms to identify anomalies missed by traditional systems.

Contextual Analysis

Incorporate data such as location, device, and transaction timing to give a full understanding of fraudulent behavior.

Accuracy Over False Positives

Reduce unnecessary alerts while focusing on genuine threats, improving the efficiency of your fraud prevention efforts.

Real-Time Pattern Detection

Analyze user behaviors and transactions as they happen, uncovering suspicious patterns that may indicate attacks.