Trust and transparency

How can we combat fraud to maximize public program efficiency?

Let's find out

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Public sector organizations worldwide face a growing fraud, waste and abuse (FWA) crisis that drains billions from government budgets and erodes public trust. As FWA schemes become more sophisticated and AI-enabled, many agencies are turning to AI to strengthen their processes.

Why?

Tackling FWA could save around 16% of their budget.

But that's not all

A recent global survey by a third-party research firm reveals data and AI's potential for fighting fraudulent activities and optimism about the future of fraud detection and prevention

of decision makers put fighting fraud as one of their top five priorities

expect to use generative AI to combat fraud within the next two years

So, what’s stopping them from tackling fraud?

Most agencies lack sufficient resources

46%

Analytical skills gaps

24%

Limited budgets

40%

Technology gaps

Only 1 in 10 respondents say they have all the resources needed to tackle fraud

Then where are public organizations focusing their efforts?

Minimizing external and internal fraud and errors are the highest priorities – but building data security and improving efficiency come soon after

Minimizing external fraud/errors (by citizens/businesses)

Minimizing internal fraud/errors

Ensuring security of data

Improving investigator efficiency

See how AI can bridge the gaps

Data and AI can significantly boost FWA detection and response

Survey respondents highlight the following gains:

57%

Greater workforce efficiency

39%

More FWA detection

37%

Faster identification

Explore AI’s untapped potential

Current AI adoption rates are relatively low

About half of those surveyed use AI to address FWA, while slightly over a quarter use GenAI. But the adoption curve is rapidly accelerating.

32% → 87%

Network analysis usage is projected to increase by 2027

5x

Large language model (LLM) adoption is expected to grow

Fight fraud with SAS

Prevent FWA with SAS solutions

Our data and AI-driven solutions detect suspicious activity and hidden connections, while our analytics models and case management optimize investigators’ time — all with strong data security and integrity.

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