AI in Customer Communication 2.0
From Chatbots to real AI Agents
Every day, customer expectations rise, while service, sales, and marketing teams are under increasing pressure. Companies have long known that generative AI and technologies such as RAG have enormous potential to increase efficiency, but there is often a lack of clarity about how to get started and what really matters. This eBook shows how these pain points can be solved through the targeted use of AI and also
- How simple chatbots can be turned into powerful AI agents that actively take over processes
- Which technologies guarantee accurate and reliable answers, and
- which practical entry-level scenarios have a rapid impact.
The guide also includes a checklist that makes it easier to achieve efficient and personalized customer communication step by step.
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Organizations today rely on automation as standard to reduce the workload on teams, but simple chatbots quickly reach their limits. However, there is a great deal of uncertainty when starting with modern AI:
- What basics are necessary?
- What data needs to be prepared?
- How is generative AI integrated into existing systems?
In the eBook “AI in Customer Communication 2.0", we show why automation has long been a competitive advantage, how to get started in a structured and low-risk manner, and which basics and data structures are crucial for making the best possible use of modern AI.
AI agents play a major role here; they can take on specific tasks, such as refunds or lead qualification, and reduce costs. We provide practical examples and specific tips on how AI systems can be smoothly integrated into tools so that companies can optimize and revolutionize their customer interactions.
The additional checklist provides clear criteria for preparation and guidance for a step-by-step start.
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Prepare your organization optimally and use this guide to make your customer communications more efficient and future-proof.