appana TechnologiesUAE · AI innovation

Fraud detection

Surface the transactions and patterns worth a closer look.

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FROM POSSIBILITY TO PRACTICE

What it does for your business

For your audit and assurance team, “Fraud detection” can become a repeatable workflow rather than a separate task handled from scratch each time. AI can organise incoming signals, recognise changes that meet your criteria and bring the relevant context to the person who needs to act. It fits into evidence review, control testing and investigation, using your business information and the standards your team already works to.

The value it could bring

These are the improvements to evaluate against your current process. We agree the scope and test the value with your team.

A stronger evidence trail

Help reviewers connect a finding to the records behind it and identify where further evidence is needed.

Earlier attention to exceptions

Bring meaningful changes to the right person sooner, reducing the time spent manually checking every source.

Less noise to work through

Group related signals and add context so the team can distinguish a useful alert from something routine.

EVIDENCE FROM OTHER BUSINESSES

Published ROI evidence

We have not linked a comparable published financial ROI study for this use case yet. That leaves it unranked, rather than assigning an estimated score. A pilot can measure benefits and total implementation and running costs in your business.

How it works in your business

  1. STEP 1

    Bring in the right context

    Select the relevant information from your audit workspace, evidence repository and financial or system records. Agree what a good result looks like with your audit and assurance team, including the rules, examples and permissions the workflow needs.

  2. STEP 2

    Turn the task into a workflow

    Surface the transactions and patterns worth a closer look. Group related information, explain why an item needs attention and route it according to the thresholds and escalation rules agreed with the team.

  3. STEP 3

    Put the result to work

    Present a prioritised queue or notification with evidence, an owner and a suggested next step. Auditors verify the evidence and reach the final assurance conclusion; flagged patterns are leads to investigate.

AN EXAMPLE IN PRACTICE

A member of your audit and assurance team needs help with “Fraud detection”. They supply scoped transaction records and supporting documents, together with the relevant instructions and the result they need. The workflow prepares an initial result with its supporting context, flags missing information and returns it for review. The owner can correct it and use the accepted result in the team's audit workspace, evidence repository and financial or system records.

Start with a focused pilot

Choose one workflow, one team and a representative set of real tasks. We establish the current baseline, build the first version and review the results together before expanding it.

What we would start with

Depending on the scope, useful inputs include:

  • Scoped transaction records and supporting documents
  • Control framework and evidence requirements
  • Past findings and investigation criteria

We agree access and integration with your audit workspace, evidence repository and financial or system records as part of the design.

How we would measure value

  • Time between a relevant event and its review
  • Useful alerts compared with false alarms
  • Evidence preparation time and confirmed findings per review

Auditors verify the evidence and reach the final assurance conclusion; flagged patterns are leads to investigate.

LET’S BUILD IT TOGETHER

Could this help your business?

Tell us how your team works today and what you would like to improve. We’ll explore the opportunity, shape a practical first step and build it with you.

Talk to us about this use case