Content Creation with AI: Hybrid AI and Trust as Success Factors
Of Monsters and Ants: Why AI-Powered Marketing & CX Needs Both (Part 3 of 3)
In the speech “Of Monsters and Ants: Why AI-Powered Marketing & CX Needs Both” on March 11, 2025, I will deal with the use of artificial intelligence (AI) in marketing and customer experience (CX). This is the last part of the series.
Read the first part of the blog series here.
Take a look at the second part to understand the whole context.
Listen to the presentation on the ShiftCX platform!
Rethinking Campaigns: Content Creation with AI
As already mentioned in the second part of the blog series, the efficient use of AI in marketing requires specialized models that work reliably and precisely. These AI “ants” make it possible to design structured and systematic processes. The combination of analytical and generative AI – also known as hybrid AI – provides a flexible solution that is both precise and adaptable. This ensures that the value of AI is secured in the long term and optimally tailored to the needs of users and companies.
Especially when creating content with AI, i.e. when producing target group-specific content, the question arises: How can content be created that offers special features and planned surprises? The answer lies in the combination of data analysis and creativity – the core of AI-supported campaigns. Analytics is the basis for precisely capturing the emotions, needs and expectations of target groups and designing content accordingly. Only through the right data analysis can we recognize whether we are on the right track.
Data Analysis as the Foundation for Successful AI-Supported Campaigns
The challenge is to process the collected data, recognize outliers and anomalies and use this information specifically for content creation with AI. Anomalies are ideal for long-tail content to create special content that stands out from the crowd and offers more originality. Data analysis is also crucial for systematic benchmarking of competitors as part of the data-supported development of a content strategy.
A concrete example is the comparison of your own target groups with those of the competition or generally popular market trends. Where are the sweet spots? What special features make us stand out? This information supports the development of editorial plans and information architectures. Today, this process can be implemented quickly and efficiently with AI, especially in dynamic campaigns.
Intelligent Campaigns with DAPHY: Hybrid AI in Action
So how can creativity and strategy be dovetailed? The patent-pending DAPHY technology offers the ideal basis for this. DAPHY can be seen as an AI-based “director’s assistant” that offers an outside-in perspective and helps to identify your own strengths for the right target groups. This approach makes it possible to quickly understand data and develop targeted AI-supported campaigns based on it. The key is to be flexible with the data and to work continuously on an end-to-end process. This flexibility makes it possible to move directly from the conception phase to production.
DAPHY – Data-driven Prompting with Hybrid AI – is an innovative technology from MORESOPHY that offers reliable and controllable AI solutions. But what exactly is hybrid AI? This technology combines analytical and generative AI to unite the strengths of both worlds and thus achieve optimal results.
Practical Examples: Content Creation with AI in Marketing & Customer Service
Whether blog marketing, e-commerce, newsletters or customer service support – hybrid AI is used in numerous applications. It combines creative freedom with the analytical accuracy of data-based models. This ensures that content creation with AI does not take place in a vacuum, but is targeted, efficient and of high quality. This guarantees a safe and reliable approach to AI.
A huge advantage is that you are in control. You determine the direction and no “bullshit content” is produced, but targeted, high-quality content, supported by an assistant who assists you both in the conception of the script and in the ongoing production and monitors the implementation according to the specifications of the script. This type of hybrid AI use ensures a higher content ROI with consistent quality and reliable results.
An illustrative example from the insurance industry shows how hybrid AI can help to design targeted cyber policy communication for different sectors. A detailed target group analysis can be used to create specific content tailored to the needs of each target group. For example, specific content could be generated for the “energy suppliers” target group on topics such as the “digitalization of the energy transition” or the “electromobility transition”, which are highlighted as particularly relevant in the analysis using hybrid AI.
UX Design with AI: Rethinking User Centricity
The versatility of DAPHY or hybrid AI is not limited to marketing. This technology is also used in the field of customer centricity and UX design. AI can be used to develop data architectures in UX design that make it possible to create specific system designs. The flexible process used to create the design makes it possible to actively adapt the design to customer needs.
AI helps to identify complex user needs at an early stage and incorporate them into the design. This allows companies to develop user-centered UX designs based on reliable data.
Trust in AI: Humanity Despite Technology
Despite all the automation, one thing remains central: trust in AI. Customer relationships are based on trust. Even in an increasingly AI-driven world, humanity and emotional understanding remain crucial. Trust requires reliability and predictability. While generative AI can deliver impressive results, it is often unreliable and unpredictable in the long term. If AI goes off track, this can quickly lead to a loss of trust.
To avoid this problem, the use of hybrid AI is a promising approach. By combining human expertise and AI-supported systems, companies can ensure that the technology not only works efficiently, but also reliably. Hybrid AI systems combine the optimal compromise of creativity and control to make decisions faster and more accurately without jeopardizing customer trust. A beast (generative AI) controlled by ants (analytical AI).
Reliable AI – “Made in Germany”
At MORESOPHY, we have been working with companies from various industries for over 20 years to develop customized AI solutions. We offer patented, independent, hybrid AI technologies that meet the specific needs of our clients while maintaining the highest standards of reliability and compliance.
Read the other articles in this blog series for a comprehensive overview of the use of AI in marketing and customer experience.
Contact us today to discuss your business case and work together to develop a customized AI solution that will drive your business forward!
CEO of MORESOPHY
Heiko Beier is a professor of media communication and an entrepreneur specializing in data analytics and artificial intelligence. As an expert in cognitive business transformation, he supports companies in various industries in the design and implementation of digital business models based on smart data technologies.
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