Case Study > Salesforce

How AiSynapTech Helped a Financial Institution Detect Anomalies 4x Faster with Real-Time AI Solutions

Introduction

In the fast-paced world of finance, detecting irregularities in transactions is a critical task that can make or break the integrity of an organization. Financial institutions rely on accurate and timely insights to avoid high-risk errors, ensure compliance, and maintain audit readiness. For one such financial institution, the need for a faster, more efficient anomaly detection system became a pressing concern. 
AiSynapTech stepped in to provide a cutting-edge solution: an AI-powered anomaly detection engine that scans financial transactions in real-time, flags potential issues, and offers valuable context to guide corrective action. 

The Problem

The finance team at the institution faced significant challenges with their existing anomaly detection process. 

The traditional methods for identifying irregularities in transactions were slow and manual, leading to delays in detecting potential issues.

This inefficiency not only put the institution at risk of compliance violations but also increased the chances of high-risk errors going unnoticed until it was too late. 

With regulatory pressures mounting and audit readiness becoming more critical than ever, the finance team needed a solution that could speed up the anomaly detection process and improve their overall compliance posture. 

Our Approach

To address these challenges, AiSynapTech deployed an AI-driven anomaly detection engine tailored to the finance institution’s unique needs. Our team began by thoroughly understanding the institution’s current processes, pain points, and specific requirements. 

AiSynapTech's AI solution leveraged advanced machine learning models trained on a diverse dataset of financial transactions. These models were designed to analyze incoming transactions in real time, scanning for anomalies and flagging them immediately.

Crucially, the engine not only detected irregularities but also provided valuable context, helping the team understand why a particular transaction was flagged, streamlining the investigation process.

The solution was implemented with minimal disruption to the institution's existing workflows, ensuring that the AI system could be integrated seamlessly into their daily operations.

The Solution

AiSynapTech’s anomaly detection engine provided the following key features. This AI-powered solution empowered the finance team to detect anomalies faster, reduce manual oversight, and improve overall operational efficiency. 

Real-Time Scanning:

The AI model processed incoming transactions instantaneously, enabling the finance team to detect irregularities as they occurred.

Contextual Insights:

In addition to flagging anomalies, the system provided detailed insights into the potential causes of the anomaly, improving the investigation and response time.

Customizable Thresholds:

The AI engine allowed the institution to fine-tune the sensitivity of anomaly detection to align with their specific risk tolerance and regulatory requirements.

Scalable Solution:

The engine was designed to scale alongside the institution's growing transaction volume, ensuring ongoing effectiveness as the organization expanded.

The Results

Metric 

Before AiSynapTech 

After AiSynapTech 

Anomaly Detection Speed 

1 hour per transaction 

15 minutes per transaction 

High-Risk Errors Prevented 

N/A 

15 minutes per transaction 

Compliance Rating 

80% 

95% 

Audit Readiness 

Moderate 

High 

The impact of the anomaly detection engine was immediate and measurable. Within the first few months of implementation, the finance team reported significant improvements in the detection and management of transactional irregularities: 

4x Faster Detection:

The AI engine enabled the institution to identify anomalies four times faster than with their previous methods, drastically reducing response times.

Reduced High-Risk Errors:

By automating the anomaly detection process and providing real-time insights, the system helped prevent high-risk errors that could have led to financial losses or compliance violations.

Improved Compliance:

The AI model’s ability to quickly detect and flag irregularities helped the finance team maintain a higher level of compliance, improving audit readiness and minimizing the risk of regulatory fines.

Increased Efficiency:

With fewer manual interventions required, the finance team was able to focus on more strategic tasks, enhancing overall productivity and resource allocation.

Client Feedback

“Working with AiSynapTech has been a game changer for our operations. The AI-powered anomaly detection engine has not only reduced the time we spend on manual checks but has also allowed us to catch errors and irregularities much faster. This has made a significant difference in our compliance and audit processes. We’re now more confident in our ability to stay ahead of any potential issues.” 
Senior Finance Manager, Financial Institution 

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