UnipolSai Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by UnipolSai and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 11410 UnipolSai employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that UnipolSai has purchased the following applications: Apromore Copilot for Generative AI Platforms in 2019, Apromore Enterprise Edition for Process Mining in 2019, Microsoft 365 for Collaboration in 2021 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems UnipolSai is running and its propensity to invest more and deepen its relationship with Apromore , Microsoft , AddEvent or identify new suppliers as part of their overall Digital and IT transformation projects to stay competitive, fend off threats from disruptive forces, or comply with internal mandates to improve overall enterprise efficiency.
We have been analyzing UnipolSai revenues, which have grown to $16.60 billion in 2024, plus its IT budget and roadmap, cloud software purchases, aggregating massive amounts of data points that form the basis of our forecast assumptions for UnipolSai intention to invest in emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database or in cloud-based ERP, HCM, CRM, EPM, Procurement or Treasury applications.
AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Apromore | Legacy | Apromore Copilot | Generative AI Platforms | AI Development | n/a | 2019 | 2019 |
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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Analytics and BI
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Apromore | Legacy | Apromore Enterprise Edition | Process Mining | Analytics and BI | n/a | 2019 | 2019 |
In 2019, UnipolSai deployed Apromore Enterprise Edition to analyze end-to-end motor vehicle claims handling processes using Process Mining. The deployment targeted claims process discovery and compliance analysis within the insurer's motor lines.
Apromore Enterprise Edition was configured to run process discovery and process modelling workflows, execute conformance checking, and deliver performance analytics and root-cause tracing. Analysts at UnipolSai used the software to generate visual process maps and extract analytics at the press of a button, shifting focus from offline historical log analysis to near-live data inspection. These capabilities align with core Process Mining functional modules for automated model generation and variant clustering.
The implementation ingested event data and transactional logs from enterprise systems, including the enterprise resource planning system, sales systems, payroll systems and employee management systems, as well as procurement application logs, to construct end-to-end event logs for claims processes. Integration of those sources enabled visualization of case flows across touchpoints in claims intake, adjudication and settlement. Data aggregation and event log normalization were used to support cross-system process tracing.
Operationally the Apromore Enterprise Edition output was consumed by claims operations and compliance teams to identify process pain points and detect non-compliant variants for targeted remediation. Governance workflows were adapted to use process mining outputs for root-cause investigations and process redesign prioritization. The implementation demonstrates how Process Mining can convert transactional system logs into actionable process models for insurance claims operations.
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Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Microsoft | Legacy | Microsoft 365 | Collaboration | Collaboration | n/a | 2021 | 2021 |
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Event Management | Collaboration |
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2018 | 2018 |
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IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Application Hosting and Computing Services | IaaS |
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2020 | 2020 |
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