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Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Michelin, an e2open customer evaluated Oracle Transportation Management

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

List of Process Discovery (formerly FortressIQ ) Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight Insight Source
BGC Brokers L.P. Banking and Financial Services 3818 $1.8B United States Automation Anywhere Process Discovery (formerly FortressIQ ) Process Mining 2018 n/a In 2018, BGC Brokers L.P. deployed Process Discovery (formerly FortressIQ) from Automation Anywhere as a Process Mining application to support a planned back-office modernization across its post trade operations. The initiative was executed under expanded CTO responsibility for Operations Technology covering Cantor and BGC post trade operations and was positioned to shift processing from reactive to event driven and exception based workflows. Process Discovery (formerly FortressIQ) was configured to capture end to end workflow telemetry, identify exception paths, and produce process models to prioritize automation opportunities, while RPA, NLP and machine learning were introduced to convert discovery insights into automated actions. Automation capabilities included machine learnt robots that automated routine operations tasks, and the program coordinated UI Path for robotic execution alongside Process Discovery analytics. Architecturally the program moved toward an event driven, exception based back office platform, using Process Discovery outputs to flag exceptions and trigger RPA playbooks. Operational scope focused on the Post Trade Operations organization and back office workflow orchestration across Cantor and BGC, with implementation emphasis on process mapping, exception routing and automated remediation. Governance and staffing changes were led by the CTO, who reoriented operations technology and staffing to create a more client oriented technology organization and to embed machine learning and AI concepts into operational workflows. The deployments of Process Discovery and UI Path successfully automated a range of operations processes, and the effort eliminated many hands on operations positions while optimizing costs.
BPM-Discipline US Professional Services 40 $4M United States Automation Anywhere Process Discovery (formerly FortressIQ ) Process Mining 2019 n/a In 2019, BPM-Discipline US deployed Process Discovery (formerly FortressIQ) from Automation Anywhere to analyze the invoicing portion of its Order to Cash process. The engagement applied targeted Process Mining analysis across business units in the United States, United Kingdom, and India as part of BPM-Discipline US's Rapid Process Improvement methodology. Process Discovery (formerly FortressIQ) was configured to capture user interaction and transaction-level process intelligence, producing visual process maps, variant analysis, and activity sequencing to expose deviations in invoicing workflows. Configuration prioritized end-to-end traceability of invoice creation, approval, and billing handoffs to surface frequent exceptions and nonstandard paths. The implementation focused on finance and accounts receivable functions within the Order to Cash value stream, addressing cross-functional handoffs between commercial, delivery, and billing teams. Operational coverage included the firm’s UK, US, and India business units, with analyzed process variants used to align process owners around standardized invoicing steps. BPM-Discipline US governed remediation through its Rapid Process Improvement program, prioritizing targeted fixes and updated operating procedures with accountable process owners. Use of Process Discovery (formerly FortressIQ) enabled identification and resolution of process inconsistencies and reduced invoicing process times by 24%.
Cantor Fitzgerald Banking and Financial Services 12000 $3.6B United States Automation Anywhere Process Discovery (formerly FortressIQ ) Process Mining 2019 n/a In 2019, Cantor Fitzgerald implemented Process Discovery (formerly FortressIQ ) from Automation Anywhere as part of a Process Mining initiative. The deployment focused on automating legal invoicing and PNS reporting, instrumenting end to end process capture with computer vision and predictive analytics to identify automation candidates and process variants, and operationalizing those variants with Catalytic which contributed to a reported 40% reduction in invoice processing time. Process Discovery (formerly FortressIQ ) was used for continuous process discovery, event sequence mapping, and predictive analytics, complemented by tooling for data blending and visualization. The implementation blended multiple data sources and used Tableau to create interactive dashboards, while Oracle Analytic cloud was used to analyze Compensation and Non Compensation Data through visualization analytics, providing consolidated process and transactional views for analysts and business owners. Integrations were explicitly built to unify data from Excel, Oracle, and SQL Server into the Process Mining and analytics stack, improving cross source data integrity by 16%. The automation and analytics flow integrated Process Discovery outputs with Catalytic for runtime automation, and Tableau for dashboard consumption, aligning process outputs with downstream reporting and decision workflows in finance, legal billing, and compensation analysis. Governance was designed with stakeholders using MS Project and Visio to create a Work Breakdown Structure and a governance model that governed discovery cadence, exception handling, and prioritization of automation candidates. The program combined Process Mining insights with execution orchestration and visualization, creating a structured operating model for continuous discovery and targeted automation while preserving auditability for regulated invoicing and reporting processes.
Professional Services 3800 $900M United Kingdom Automation Anywhere Process Discovery (formerly FortressIQ ) Process Mining 2019 n/a
Professional Services 310 $150M Canada Automation Anywhere Process Discovery (formerly FortressIQ ) Process Mining 2019 n/a
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FAQ - APPS RUN THE WORLD Process Discovery (formerly FortressIQ ) Coverage

Process Discovery (formerly FortressIQ ) is a Process Mining solution from Automation Anywhere.

Companies worldwide use Process Discovery (formerly FortressIQ ), from small firms to large enterprises across 21+ industries.

Organizations such as Cantor Fitzgerald, BGC Brokers L.P., Dentsu UK, Hitachi Solutions Canada and BPM-Discipline US are recorded users of Process Discovery (formerly FortressIQ ) for Process Mining.

Companies using Process Discovery (formerly FortressIQ ) are most concentrated in Banking and Financial Services and Professional Services, with adoption spanning over 21 industries.

Companies using Process Discovery (formerly FortressIQ ) are most concentrated in United States, United Kingdom and Canada, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Process Discovery (formerly FortressIQ ) across Americas, EMEA, and APAC.

Companies using Process Discovery (formerly FortressIQ ) range from small businesses with 0-100 employees - 20%, to mid-sized firms with 101-1,000 employees - 20%, large organizations with 1,001-10,000 employees - 40%, and global enterprises with 10,000+ employees - 20%.

Customers of Process Discovery (formerly FortressIQ ) 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 Process Discovery (formerly FortressIQ ) customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Process Mining.