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Their story

It is critical that International Personal Finance drives cutting edge technologies and data analytics to create an early warning system to safeguard against fraud.

Machine Learning to counter threats

A crucial factor to the survival and evolution of organisations is to harness the power of Intelligent Automation.

Intelligent Automation has infinite potential in government, healthcare, retail and finance, specifically Machine Learning, which can discover patterns to make predictions. Chief Data Officers and Chief Information Officers can leverage this technology to predict healthcare demand and supply, determine deficiencies around service quality and provide predictive data on fraud.

The use of Intelligent Automation has already helped our clients to:

  • Reduce fraud and identify threats across services
  • Drive efficiencies and optimise resources
  • Provide the best solution for their customers
  • Accelerate value creation

Our client, International Personal Finance, harnessed the power of Machine Learning for fraud detection and their model now provides them with a clear data intelligence picture and predicts future fraud patterns, enabling them to stay ahead of the threat.

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Fraud case identification


Increase in fraud detection


Faster global roll-out

Accerating IPF's digital advantage

Intelligent Automation passes accelerated value into your digital ecosystem—to unleash this for International Personal Finance, we proactively demonstrated the use of Artificial Intelligence so they could see the benefits to their potential use cases.

We started with a proof of concept, which was very successful, and now we have rolled out to all geographies.

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The Problem

  • Legacy systems unable to optimise fraud analysis across 11 countries 
  • Early detection and analysis of millions of rows of data in seconds
  • Pre-determined models that could not stay ahead of the curve and evolve to predict changing patterns in fraud behaviour
  • The criticality of creating a sophisticated and optimal fraud detection system which itself acts as a deterrent for agents

The Solution

  • Machine Learning implementation
  • Detection of different types of fraudulent activity
  • Business adoption within the SME community
  • Correction of business model assumptions by co-locating SME and Mastek Analyst

The Outcome

  • Reduced the time taken to maintain the model from days to just minutes freeing up Analyst time
  • Identified 80% of fraud cases
  • Increased fraud detection by 15%
  • Enabled 25% faster strategic global rollout

“Mastek’s Machine Learning solution has been transformational—we have increased fraud detection by 15%."

Amy Foster, Group Head of IT Change, International Personal Finance.