Generative AI: The successful path to transformation and innovation in customer dialogue

Generative AI (GenAI) has an impact not only on sectors, but also on the way companies work, innovate and organise customer relationships. Its ability to improve existing processes, reduce expenditure and introduce completely new business models has far-reaching consequences for the utilisation of the technology's potential. In this blog article, our guest author Dr Evangelos Avramakis, Lead Corporate Foresight, Intelligence & Development at Swiss Re, discusses the potential offered by Generative AI and the key steps required to use it successfully in customer dialogue and in contact or call centres.

Experte Evangelos Avramakis

Leiter Foresight, Intelligence & Development | Swiss Re

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Generative AI: between efficiency and innovation

With the help of generative AI, companies can take their operational processes to new levels. Productivity and quality are improved by automating routine tasks and providing intelligent, context-sensitive solutions.

Focus on efficiency with human augmentation

The true strength of GenAI lies not in replacing human skills, but in augmentation. For example, it is possible for a call centre employee to respond to customer queries faster and more effectively with the help of AI-supported suggestions. With its ability to provide real-time information and handle multiple tasks simultaneously, Generative AI enables a significant reduction in the processing time for customer enquiries. This leads to a significant increase in customer service efficiency. According to a study by McKinsey, it is possible for AI-based companies to increase their productivity by up to 30 %.

New business models: quality and differentiation meets innovation

Generative AI also enables the creation of completely new services. It can improve personalised recommendations or empathetic interactions in the service centre through AI, which leads to a strengthening of customer loyalty. This not only contributes to customer satisfaction, but also opens up new sources of revenue as premium services. Predictive analytics could also be used to predict customer needs, identify potential problems and offer proactive support before customers need to take action. Many companies lack a comprehensive innovation strategy, although they could capitalise on the "low-hanging fruit" by introducing simple, immediate improvements with the help of GenAI. As a result, broad, transformative opportunities remain largely untapped.

Cost efficiency vs. differentiation

Many companies use AI technologies to make existing processes more efficient. However, due to the same competitive conditions, this leads to a "red ocean" where the focus is on price reductions and scaling. The key is to focus attention on "blue oceans" - new markets and opportunities that are less competitive but more challenging. Companies need to establish a culture of innovation that encourages constant learning and experimentation.

The role of leadership for more innovation

Transformative change is impossible without strong leadership. Leaders should have the ability to communicate vision, motivate their employees and bring about a change in culture. According to the Harvard Business Review, companies with transformational leadership have a 60% success rate in introducing change and innovation. However, this requires a cultural change and the development of an "innovation muscle", which is not easy to realise.

Implications for call and service centres

The integration of generative AI offers enormous opportunities for contact and service centres, which are increasingly under pressure to combine cost efficiency and customer satisfaction.

Opportunities with automation and personalisation:

Automatisierte Routinen: Wiederkehrende Aufgaben wie FAQs oder Ticketzuweisungen können durch KI optimiert werden.

Personalisierte Interaktionen: Generative KI kann Kundenanfragen analysieren und maßgeschneiderte Lösungen vorschlagen, was zu einer besseren Customer Experience führt.

Kürzere Reaktionszeiten: Mit KI-gestützten Assistenzsystemen können Mitarbeitende schneller auf komplexe Anfragen reagieren.

Potential risks in the use of AI technology:

Vertrauensverlust durch Fehler: Unvollständige oder fehlerhafte Antworten können das Vertrauen der Kunden gefährden.

Fehlende menschliche Empathie: Automatisierte Systeme können menschliche Emotionen und Nuancen nicht vollständig ersetzen.

Hohes Implementierungsrisiko: Ohne klare Governance-Strategien kann die Einführung von GenAI wesentlich erschwert werden.

A critical look at skills - today vs. tomorrow

Ability Today Tomorrow (with GenAI)      
Communication Clarity and empathy in conversations Empathetic interactions, supported by real-time insights.      
Problem solving Experience and intuition in finding solutions. AI-supported analyses for more precise solutions.      
Multitasking Simultaneous processing of customer enquiries Efficient prioritisation through AI automation.      
Data analysis Manual evaluation of customer feedback Automated analyses and pattern recognition.      
Innovation capability Reactive adaptation to market changes Proactive innovation through continuous learning.      

Conclusion: A positive look ahead

The introduction of generative AI in call and service centres is not an easy process, but it offers enormous opportunities. Companies that manage to establish a culture of innovation, minimise risks and at the same time empower their employees for this transformation will not only become more efficient, but also more resilient.

Transformative Veränderungen entstehen nur, wenn Unternehmen bereit sind, Altes hinter sich zu lassen und mutig neue Wege zu gehen.

The future belongs to those who are brave enough to actively shape it.

Or as Reid Hoffman provocatively put it: "If your business models from yesterday still work, then you have a problem."

Make a bold start and exploit the potential that generative AI offers for future-proof customer dialogue in service centres.

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