Fight fraud in accounting process

What answer to bring if you try to fight fraud in accounting process?



Intentional alteration of the financial statement reliability and consistency. The shortcoming may occur at each level of the process :

  1. Data preparation (deliberately overlook data, …)
  2. Data processing (deliberately overstating some facts and data, …)
  3. Results validation and release


Pain points:

  • Failure to get a global view of input data and their quality
  • Unclear and complex data processing method
  • Inability to detect data manipulation



Mitigation internal approach:

  • Risk management by design
  • Privacy by design
  • Alert / Validation by design


  • Machine Learning
  • Big Data
  • Data Management




« Tackle the costs of online fraud  »

Callsign has built a secure mobile multi-
factor authentication and authorisation engine, through the introduction of patented machine-learning biometric, behavioural, geo-location and identity analysis, combined with traditional methods.

Find more about Callsign here.



« Digitised audit and internal control »

Supervizor helps companies reduce their risk of tax relief, detect fraud and recover overpayments, using the first automated financial data control software.

Supervizor has a single goal: to enable each organization to benefit from the latest automated data analysis technologies to achieve a level of security never before achieved.

Find more about Supervizor here.


How Aurexia can help?


PRE-PROJECT: preparation of innovative project

  • Conduct RFP process on business topics

  • Validate data to be proceed by the solution (data preparation)

  • Formalize digital ambitions & business needs

  • Detect relevant business use-cases for specific technology

  • Lead ideation workshops to define pain points and needs


DURING PROJECT: End-to-end project delivery

  • Ensure global project management with key stakeholders

  • Design business requirements and adaptive services

  • Review operating model with new solution and business

  • Define IT governance with key stakeholders on new solution deployed

  • Promote solution with an awareness plan and change management strategy


AFTER PROJECT: Monitoring project success

  • Ensure change management plan roll-out with users and management

  • Conduct data visualization project to add reporting capabilities

  • Promote the project through a dedicated communication plan

  • Formalize KPI and build project business case

  • Identify new project opportunities (same client with other departments


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