List of Apromore Copilot Customers
Melbourne, 3053, VIC,
Australia
Since 2010, our global team of researchers has been studying Apromore Copilot 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 Copilot for Generative AI Platforms 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 Copilot for Generative AI Platforms include: Intesa Sanpaolo, a Italy based Banking and Financial Services organisation with 93832 employees and revenues of $28.86 billion, UnipolSai, a Italy based Insurance organisation with 11410 employees and revenues of $16.60 billion, University of Melbourne, a Australia based Education organisation with 13758 employees and revenues of $2.07 billion and many others.
Contact us if you need a completed and verified list of companies using Apromore Copilot, 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 Copilot 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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Intesa Sanpaolo | Banking and Financial Services | 93832 | $28.9B | Italy | Apromore | Apromore Copilot | Generative AI Platforms | 2020 | n/a | In 2020, Intesa Sanpaolo implemented Apromore Copilot to support discovery and analysis of end-to-end forex deal workflows, Apps Category: . The engagement targeted process-level visibility across foreign exchange deal handling to surface variant families and root causes for deviations in banking operations. The Apromore Copilot implementation focused on process discovery and variant analysis capabilities, using visual process maps and automated clustering to isolate anomalous flows and recurring exceptions. Configuration emphasized sequence alignment and root-cause analysis modules to trace deviation patterns back to operational steps and decision points within forex deal lifecycles. Operationally the solution ingested event-level deal records from forex processing pipelines and instrumented workflow telemetry to drive the analysis, with primary coverage in Italy and concentration on deal handling teams within operations. The workstream aligned process mining outputs with operations and compliance functions, enabling case-level investigation and prioritized remediation paths. Governance was oriented around process owners and operational leads who consumed Apromore Copilot outputs to refine standard operating procedures and exception handling rules. The engagement produced documented improvements in deal handling time and success rates in Italy as recorded by the engagement, and outputs were used to steer further process standardization efforts. | |
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UnipolSai | Insurance | 11410 | $16.6B | Italy | Apromore | Apromore Copilot | Generative AI Platforms | 2019 | n/a | In 2019, UnipolSai implemented Apromore Copilot alongside Apromore Enterprise Edition to operationalize process mining across its insurance operations. The deployment targeted process discovery and conformance analysis, leveraging Apromore Copilot within the Process mining category to accelerate root cause analysis and variant detection. The implementation configured core process mining capabilities including automated process discovery, conformance checking, variant clustering, and interactive visualizations to support continuous process analysis. Apromore Copilot was used to augment analyst workflows with guided query generation and insight summarization, enabling faster hypothesis validation and prioritization of optimization opportunities. Operational scope focused on insurance business functions, notably claims handling and underwriting process analysis, where the platform was used to identify inefficiencies and streamline end to end process flows. Governance combined centralized analytics artifacts with role-based access for process owners and analysts, and the program delivered documented cost and efficiency improvements in the targeted insurance processes. | |
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University of Melbourne | Education | 13758 | $2.1B | Australia | Apromore | Apromore Copilot | Generative AI Platforms | 2019 | n/a | In 2019, the University of Melbourne implemented Apromore Copilot in a research partnership to co-develop and field-test Process Mining capabilities focused on administrative process optimization. The engagement centered on using Apromore Copilot as research-driven process-mining software deployed against operational event logs from administrative systems, with explicit application to student admissions workflows in Australia. Apromore Copilot was configured to provide process discovery, conformance checking, performance analytics, and case-level drilldown to surface bottlenecks and variant behaviors. The implementation emphasized interactive visualizations and trace-level analysis to make administrative case flows visible to process owners, and it supported iterative refinement of process models and rule sets as findings were validated by university operations teams. Operational scope covered administrative departments responsible for admissions and related student lifecycle processes, with the project run as a co-development and field-testing program between the university and Apromore. Governance combined academic research oversight with operational process owners to validate algorithmic findings and translate them into revised workflows, and documented outcomes included reduced turnaround times and improved transparency for the targeted administrative processes. |
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