What challenges did Cognizant face before AI implementation?

Manual KYC onboarding prone to delays and errors Ineffective customer risk profiling, increasing regulatory risk Sanction screening processes are slow and resource-intensive Real-time transaction monitoring is difficult to achieve Risk of regulatory non-compliance and potential for substantial fines

What was the impact of the AI solution?

Reduced onboarding time for KYC processes by up to 50% Improved suspicious transaction detection accuracy and reduced false positives Enabled real-time monitoring resulting in more effective risk mitigation Streamlined compliance reporting, reducing manual effort by 40%

Source

MicrosoftExpanded

Cognizant and Microsoft Anti-Money Laundering (AML) Solution

Use case typeRisk assessmentUpdated Jun 13, 2026

Cognizant partnered with Microsoft Azure to deliver a Financial Crime Compliance and Anti-Money Laundering (AML) transaction monitoring solution. It is targeted at helping financial organizations handle challenges such as Know Your Customer (KYC) onboarding, sanctions screening, and customer risk profiling through AI/ML optimization. With an 8-week implementation timeline, the solution enables organizations to mitigate risks, monitor behaviors, and ensure compliance while utilizing Azure's infrastructure and tools like Power BI dashboards. This AI/ML-powered optimization also enables real-time monitoring to prevent cost increases and compliance lapse.

Organization: Cognizant
Industry: Finance
Location: United States
Published: April 2025

Reported outcomes

−50%

timeTime & speed

40%quantified impact

Strategic outcomes

New product / capabilityEnabled real-time transaction monitoringBetter decisions & insightImproved suspicious transaction detectionSpeed & agilityStreamlined KYC onboarding and reporting

Catalog median for time & speed deployments: −60% across 727 reported metrics. Compare benchmarks →

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