Use cases for Generative AI are often less obvious than those for AI assistants. In many cases, Generative-AI functionalities are part of larger solutions rather than standalone features.
Example 1: Email Assistants
It is evident that Large Language Models (LLMs) can support email correspondence. Automatically suggesting replies based on existing communication will soon become standard practice.
However, the real value depends on how well a system understands content:
- Does the agent recognize the people involved and their roles?
- Does it understand causal relationships, or does it simply provide generic text blocks?
The market already shows initial approaches to email agents powered by GenAI, but systems that fully leverage the technology’s potential are still rare. The reasons: high development and operational costs, as well as unclear monetization in an environment where nearly every product is marketed with “AI.”
Another challenge: standardized metrics for measuring the quality of AI assistance are still missing. Today, customers cannot easily determine how much value such an assistant truly provides.
Example 2: Personalized Customer Engagement
Another promising area is automated customer communication—such as in loyalty programs or marketing campaigns. Here, it is not enough to simply consider segments, company size, or purchase history.
The real added value comes when Generative AI also processes unstructured data such as emails, call notes, or CRM entries.
This enables an LLM to “work through” the entire customer history and create a message as personalized as one crafted by a well-trained sales or service professional. This becomes especially valuable in sensitive situations—for example, after complaints involving extensive correspondence—where the tone and approach must be carefully adapted.
Conclusion
Whether in email assistance or customer campaigns, Generative AI demonstrates its strength where relevant data and context are available. Without data and context, there is no real use case for implementation.
Sol4data supports companies in the design and implementation of Generative-AI solutions—bringing expertise from both project and product development.
