AI Buyer Insights:

Michelin, an e2open customer evaluated Oracle Transportation Management

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Michelin, an e2open customer evaluated Oracle Transportation Management

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

List of ACI Fraud Management RPA Customers

Apply Filters For Customers

Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
B&H Photo Retail 2000 $550M United States ACI Worldwide ACI Fraud Management RPA Robotic Process Automation 2020 n/a
In 2020, B&H Photo implemented ACI Fraud Management RPA as a merchant fraud solution to address a large reshipping scam in its retail merchant payments area in the United States, engaging ACI Worldwide alongside TransUnion. The implementation focused on stopping organized reshipping activity and reducing manual review workloads across online order flows. The deployment configured ACI Fraud Management RPA to detect reshipping fraud patterns, automate manual review workflows, and orchestrate case handling across B&H Photo's e commerce operations. Implemented functional capabilities included rules-driven detection, automated review routing, and robotic process automation to execute repetitive evidence collection and case enrichment tasks. Integration work centered on feeding TransUnion risk and identity signals into ACI Fraud Management RPA to enrich transaction scoring and decisioning, and embedding the solution into merchant payment and order handling flows used by the retailer. Operational coverage emphasized the merchant payments life cycle and day to day fraud analyst activities within B&H Photo's e commerce operations in the United States. Governance adjustments included centralizing fraud decision workflows and shifting staff from high volume manual review to oversight and exception management, with ongoing tuning of detection rules and decision logic. Outcomes reported in the engagement notes include TransUnion stopping approximately 95 percent of the reshipping scam and tripling fraud catch, and the implementation materially reduced manual review burdens allowing reallocation of staff.
Krungthai Card Banking and Financial Services 850 $130M Thailand ACI Worldwide ACI Fraud Management RPA Robotic Process Automation 2024 n/a
In 2024, Krungthai Card implemented ACI Fraud Management RPA, Apps Category: . The deployment targeted real time card and card not present fraud detection across KTCs Thai card portfolio, with the explicit goal of reducing false positives while accelerating model iteration. The implementation used the ACI Fraud Management RPA payments intelligence module and the model generator module to operationalize detection workflows and automated model development. Configurations included real time scoring and rule orchestration, and the model generator was used to build and iterate predictive signatures and thresholds for both card present and card not present transaction patterns. Deployment scope was the banking and finance area in Thailand, covering fraud operations, payments processing, and risk management teams responsible for card portfolio surveillance. Operational coverage emphasized integration of detection outputs into fraud investigation workflows and automation of model promotion and scoring, enabling faster turnaround for model updates and deployment. Governance and process changes concentrated on embedding the model generator into regular model refresh cycles and applying payments intelligence outputs to triage alerts, with automated processes to reduce manual review. Outcomes reported by KTC included higher detection rates at about 85 percent and a three to one improvement in false positive precision, while enabling more rapid model development and automation through ACI Fraud Management RPA.
Swedbank Sweden Banking and Financial Services 11098 $5.4B Sweden ACI Worldwide ACI Fraud Management RPA Robotic Process Automation 2021 n/a
In 2021, Swedbank Sweden partnered with ACI Worldwide to deploy ACI Fraud Management RPA to strengthen card fraud detection and to operationalize PSD2 SCA exemption strategies across its Nordic and Baltic banking operations. The deployment targeted the bank's card and payments risk controls in the banking and financial services area, shifting detection logic from transaction only rules to behavioral, machine learning powered detection models. The implementation of ACI Fraud Management RPA centered on behavioral analytics and machine learning scoring combined with a rules management and decisioning layer to support low risk transaction exemptions under PSD2 Strong Customer Authentication. Configuration work emphasized adaptive scoring, automated decisioning for SCA exemptions, and a centralized case management and alerting capability to escalate higher risk findings. The narrative explicitly references ACI Fraud Management RPA as the application delivering these capabilities. Operational scope covered Swedbank Sweden initiatives across the Nordic and Baltic region with business function impact concentrated in card operations, fraud prevention, payments risk, and customer experience teams. Governance adjustments included formalizing exemption criteria, rules lifecycle processes, and oversight for machine learning model performance and exemption decisioning to align with PSD2 compliance requirements. The bank reported a substantial reduction in card fraud, approximately a 55 percent decrease, and an improved customer experience by enabling low risk transaction exemptions through the deployed ACI Fraud Management RPA solution.
Showing 1 to 3 of 3 entries

Buyer Intent: Companies Evaluating ACI Fraud Management RPA

ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating ACI Fraud Management RPA. Gain ongoing access to real-time prospects and uncover hidden opportunities.

Discover Software Buyers actively Evaluating Enterprise Applications

Logo Company Industry Employees Revenue Country Evaluated
No data found
FAQ - APPS RUN THE WORLD ACI Fraud Management RPA Coverage

ACI Fraud Management RPA is a Robotic Process Automation solution from ACI Worldwide.

Companies worldwide use ACI Fraud Management RPA, from small firms to large enterprises across 21+ industries.

Organizations such as Swedbank Sweden, B&H Photo and Krungthai Card are recorded users of ACI Fraud Management RPA for Robotic Process Automation.

Companies using ACI Fraud Management RPA are most concentrated in Banking and Financial Services and Retail, with adoption spanning over 21 industries.

Companies using ACI Fraud Management RPA are most concentrated in Sweden, United States and Thailand, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of ACI Fraud Management RPA across Americas, EMEA, and APAC.

Companies using ACI Fraud Management RPA range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 33.33%, large organizations with 1,001-10,000 employees - 33.33%, and global enterprises with 10,000+ employees - 33.33%.

Customers of ACI Fraud Management RPA include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.

Contact APPS RUN THE WORLD to access the full verified ACI Fraud Management RPA customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Robotic Process Automation.