Industries

Insurance

The insurance industry faces the challenge of modernizing legacy systems, optimizing digital sales processes and scaling AI innovations – without compromising compliance and customer trust.

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Our expertise

Digital sales

Legacy system modernization

AI scaling & AI governance (GenAI/Agentic AI)

Embedded insurance

Sustainability / green coding

How we support you

From strategy and selection through to delivery – with our proven approach model.

Strategy development

Vision, roadmap and target picture for a self-driving organization.

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System selection & procurement

Neutral selection and procurement of the right software and AI solutions.

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Project delivery

Program and project management all the way to a successful go-live.

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Success Stories

Successful companies trust us

Selected projects show how we translate strategic goals into concrete, measurable results.

Transforming and optimising business processes by selecting and renewing the ERP system

Replacing a custom-built ERP system with an internationally rollable standard solution – based on as-is analysis, structured requirements gathering and a guided tendering process.

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Replacement of the core banking systems

ReqPOOL optimised the selection process, supported RFI and RFP and defined evaluation criteria for a transparent vendor decision and standardised procurement.

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Introduction of a CRM system for sales and customer service

Replacing a custom-built legacy system with a standard CRM under a tight schedule. Within three months, scope and requirements were structured, the EU tender was prepared and evaluated, and the implementation was supported.

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Project management for SAP S/4HANA Public Cloud

The introduction of SAP S/4HANA Public Cloud was supported organisationally, functionally and methodically, including governance, interface coordination and test management. The system went live successfully.

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Modernising the IT structure

ReqPOOL analysed the existing legacy IT, created process models and a function catalogue as well as an effort estimate and replacement strategies. On this basis the implementation began.

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Building an AI ecosystem

The project laid the foundations for an AI ecosystem by analysing technologies, skills and requirements and developing a suitable open-source architecture. The validated stack and roadmap enabled a structured build-up.

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and these further clients