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ArvatoConnect - GenAI-Enabled Operational Transformation
Vendor Analysis
published on Oct 15, 2025
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Report Overview:
This vendor assessment analyzes ArvatoConnect's offerings and capabilities in GenAI-Enabled Operational Transformation.
Who is this Report for:
NelsonHall’s GenAI-enabled operational transformation profile on ArvatoConnect is a comprehensive assessment of ArvatoConnect’s offerings and capabilities, designed for:
- Sourcing managers monitoring the capabilities of existing suppliers of GenAI-enabled operational transformation and identifying vendor suitability for GenAI-enabled operational transformation RFPs
- Vendor marketing, sales, and business managers looking to benchmark themselves against their peers
- Financial analysts and investors specializing in the digital transformation technologies & services sector.
Scope of this Report:
The report provides a comprehensive and objective analysis of ArvatoConnect’s GenAI-enabled operational transformation offerings, capabilities, and market and financial strengths, including:
- Identification of the company’s strategy, emphasis, and new developments
- Analysis of the company’s strengths, challenges, and outlook
- Revenue estimates
- Analysis of the profile of the company’s customer base, including the company’s targeting strategy and examples of current contracts
- Analysis of the company’s offerings and key service components
- Analysis of the company’s delivery organization, including the location of delivery centers.
Key Findings & Highlights:
ArvatoConnect is using GenAI to augment its CX services and drive operational transformation for clients.
Its GenAI-enabled services support clients at any stage of their transformation journey, delivering targeted improvements or large-scale change management across contact centers and business process operations.
ArvatoConnect begins engagements by understanding a client’s challenges before applying technology, assessing whether and where GenAI can deliver value while minimizing risk. These consulting services identify pain points, technology gaps, and data readiness using ArvatoConnect’s hyperautomation framework and Discovery Engine (ADE), a white labeled version of KYP.ai’s productivity mining platform that collects process metadata such as task steps and time spent.