List of Apromore Task Mining Customers
Melbourne, 3053, VIC,
Australia
Since 2010, our global team of researchers has been studying Apromore Task Mining customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Apromore Task Mining for Process Mining from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Apromore Task Mining for Process Mining include: NextEra Energy, a United States based Utilities organisation with 16800 employees and revenues of $24.75 billion, Australia And New Zealand Banking Group, a Australia based Banking and Financial Services organisation with 42142 employees and revenues of $13.03 billion, Inail, a Italy based Government organisation with 9261 employees and revenues of $1.00 billion and many others.
Contact us if you need a completed and verified list of companies using Apromore Task Mining, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Apromore Task Mining customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight | Insight Source |
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Australia And New Zealand Banking Group | Banking and Financial Services | 42142 | $13.0B | Australia | Apromore | Apromore Task Mining | Process Mining | 2023 | n/a | In 2023, Australia And New Zealand Banking Group implemented Apromore Task Mining, Apps Category . ANZ is named among Apromore's enterprise customers and used Apromore's process intelligence to analyze and optimize banking operations in the APAC region, with a stated objective of improving operational visibility and surfacing automation opportunities. Apromore Task Mining was configured to capture task-level telemetry and align activity traces with process models, leveraging Apromore's integrated task and process capabilities to reconstruct end-to-end workflows and identify repetitive, high-touch activities. Inferred functional capabilities applied include sessionization of desktop events, sequence clustering to reveal common task variants, and conformance analysis to highlight deviations from standard process flows, focused on operations and back-office workflows. The implementation targeted APAC banking operations with business functions impacted including operations, customer service, and transaction processing. Governance emphasis was on using process intelligence outputs to prioritize automation candidates and to inform process improvement efforts, while detailed rollout sequencing, system integration specifics, and implementation partners were not disclosed. | |
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Inail | Government | 9261 | $1.0B | Italy | Apromore | Apromore Task Mining | Process Mining | 2022 | n/a | In 2022, INAIL is listed among organizations that trust Apromore for process intelligence to support compliance and operational improvement in Italy, and Apromore Task Mining is inferred as the specific application associated with that listing. Apromore Task Mining, classified here as Task Mining, is therefore the focal application for task level process discovery and analysis within the cited customer relationship. Deployment details are not explicitly stated in the source, however implementation narratives for Task Mining typically center on automated user interaction capture, session reconstruction, task segmentation, and task level analytics, and Apromore Task Mining usage for INAIL is inferred to align with those capabilities. Functional configuration would likely include data ingest filters, session aggregation, event clustering, and interactive process visualizations to support compliance workflows and operational improvement initiatives at the task level. Operational scope as stated in the source emphasizes compliance and operational improvement in Italy, indicating the business functions impacted include compliance, process governance, and operational teams responsible for worker compensation processes. Governance and rollout considerations inferred from the context would prioritize controlled access to task data, role based dashboards for process owners and compliance officers, and an emphasis on using task level insights to inform process improvement and audit readiness. | |
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NextEra Energy | Utilities | 16800 | $24.8B | United States | Apromore | Apromore Task Mining | Process Mining | 2024 | n/a | In 2024, NextEra Energy deployed Apromore Task Mining in a Task Mining initiative to extend Apromore process mining capabilities across trade accounting and customer service workflows in the United States. The webinar presented jointly by NextEra Energy and Apromore documents Apromore process mining driving measurable improvements in those business functions, and Apromore Task Mining was used to provide integrated task and process level visibility for targeted operational workstreams. Apromore Task Mining was configured to capture task level activity and correlate those events with process models produced by Apromore process mining, supporting task tracing, session reconstruction, and process conformance analysis. Implementation concentrated on functional modules aligned with Task Mining and process intelligence, including task capture, automated activity classification, and linkage to process level analytics to surface bottlenecks within trade accounting and customer service operations. Operational coverage was scoped to trade accounting and customer service teams in the United States, with Apromore led process intelligence used to unify task level telemetry and process maps for continuous problem identification. The implementation emphasized integrated task and process level insights rather than named system integrations, focusing on delivering contextualized process intelligence to finance and customer operations. Governance included establishing process intelligence ownership and instrumentation practices to support ongoing analysis and remediation, following the Apromore led approach described in webinar materials. The program produced measurable improvements in the cited workflows according to the joint presentation, and Apromore Task Mining and Apromore process mining were presented as complementary layers for sustained workflow refinement. |
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