Deutsche Telekom
As a development partner for Deutsche Telekom’s data protection and IT security compliance portal, we are…
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AI Business Value for Insurers
AI, as a transformative technology, opens up new business potentials for insurance companies.
We support you through the various phases – from the idea to development. We offer tailored solutions for unique challenges and help you generate real AI business value from your AI projects.
Our services are divided into two core areas:
From Idea to Proof of Concept (PoC)
- Joint development of the AI business case using Design Thinking methods
- Prioritization and funnel approach for selecting and implementing AI use cases
- Validation and optimization of the user experience (UX) and development of the use cases
- Benchmarking of the use cases, including practical examples
- Bottom-up approach along the use cases
- Monitoring of technical progress
From Proof of Concept (PoC) to Development
- Tool-supported data mapping
- AI strategy gap identification
- Solution design with non-functional requirements such as: security, privacy, compliance, scalability, and cost efficiency
- Building a unified platform and integration layer along the use cases
- Acting as an enabler and mediator for lateral integration of projects
- Compliance check of AI use cases with the EU AI Act, initial check, and test automation
White Paper: From Proof of Concept (PoC) to Production
Abstract:
The integration of artificial intelligence (AI) into the insurance industry offers significant potential to increase efficiency and improve the customer experience. However, companies face major challenges when it comes to moving AI projects from the proof of concept (PoC) phase to fully operational solutions. The most common stumbling blocks are ensuring a solid data foundation, scaling models, and integrating them into existing systems. This white paper highlights how a centralized AI platform can serve as a solution to overcome these hurdles and generate sustainable business value. It explains why many PoCs fail, what technical and organizational prerequisites are necessary for success, and how insurers can ensure the long-term, successful implementation of AI. Download the white paper to gain deeper insights into the strategic and practical aspects of transitioning from PoC to production-ready AI and to put your own projects on the path to success.
Disclaimer: White Paper ist written in German.
