I am Carsten and serve
founders
executives
startups
ventures
investors
get positive unit economics
As a Solution Architect, I help my clients unlock the full automation and data potential within their marketing technology stack. My goal is to ensure that every tool and process achieves maximum success in orchestration.
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On-Site Execution
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Measurable Impact
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Sweat Equity
Last episode from June 10, 2025
“AI versus Internet – The Limits of the Univers”
Inhouse Services
The backbone in my involvement
Following system integration principles results in clearly structured, non-overlapping, and fully comprehensive analyses that enable well-founded decisions and problem solving.
I decompose complex Problems
I do break down complex issues into distinct, non-overlapping sub-areas (mutually exclusive).
I cover all Possibilities
I always ensure that all relevant options are included (collectively exhaustive), so nothing important is missed.
Hierarchical Structuring
Detail matters - I apply the Pyramid Principle to structure all relevant information, presenting clear, high-level insights that are systematically underpinned by logically organized supporting details. In the final stage, I support the leadership to address them clearly and precisely using Pace - plan, analyze, construct, execute.
Recently Published
AI Business Impact: New Data Shows Surprising Growth Patterns
Executive Summary: Artificial intelligence in business is creating unexpected contradictions in 2025. Developers using AI tools actually take 19% longer to complete issues, a significant slowdown that directly contradicts their own perceptions. Despite experiencing this productivity decline, developers still believe AI has increased their speed by 20%. This perception-reality gap emerges as U.S. private AI investments have surged to $109.1 billion in 2024—nearly 12 times China’s $9.3 billion and 24 times the UK’s $4.5 billion. The rapid expansion of AI
The Hidden Math Behind Machine Learning – AI Principles
Executive Summary: Machine learning principles have transformed how software applications function in today’s digital landscape. Between 2017 and 2018, McKinsey research found the percentage of companies embedding at least one AI capability in their business processes more than doubled, with nearly all companies using AI reporting some level of value. This rapid adoption highlights why understanding the fundamentals behind these systems has become increasingly important. Essentially, machine learning helps software applications become more accurate at predicting outcomes without being explicitly
Magic Quadrant for Business Intelligence: Changes in 2025
Executive Summary: During the past year, dramatic innovations in AI have fundamentally changed how users interact with their data, enabling chat-based interfaces and expanding data workflow capabilities. Additionally, platforms like Looker are moving beyond traditional BI with composable approaches that support data-driven workflows, alerts, applications, and more. For more than 20 years, visual-exploration-based dashboards and reports have been the primary way users monitor and explore data in magic quadrant business intelligence solutions. However, the landscape is rapidly evolving as organizations
Unlock the Next Level of CX with AI Sentiment Analysis Tools
Executive Summary: Actionable Insights to Resolve Pain Points and Drive Growth for Marketing Leaders. AI can analyze customer feedback from various sources, such as social media, reviews, and surveys, to understand customer sentiment towards a brand or product. This provides valuable insights for improving customer experience and addressing potential issues. Artificial intelligence (AI) is revolutionizing marketing technology, enabling unprecedented levels of personalization, efficiency, and predictive accuracy. This transformation hinges on the effective integration of data lakes, sophisticated orchestration platforms, and
How AI is Revolutionizing Marketing Technology
Executive Summary: Artificial Intelligence (AI) is rapidly transforming marketing by enabling advanced data-driven strategies, personalization, and automation. This article highlights how modern data lakes and orchestration tools work together to streamline marketing operations, while “AI force” drives predictive analytics and hyper-personalization. Real-world examples from e-commerce, finance, and healthcare demonstrate the real impact of these technologies. To succeed, organizations must build expertise in data science, AI engineering, and MarTech integration. The future of marketing technology depends on using AI ethically and
How Retrieval Augmented Generation Boosts Search
Executive Summary: Retrieval Augmented Generation (RAG) significantly transformed how organizations approached AI in 2023. Executives across all sectors began focusing intently on capitalizing on the latest advancements in generative AI, all while closely monitoring competitors’ adoption strategies. This paradigm shift has, in fact, become essential for making generative AI useful across a wide range of applications, whether internal or customer-facing. At its core, RAG enhances large language models (LLMs) by connecting them to external knowledge sources. This dramatically improves response
System Integrations
From Complexity to Clarity: I establish abstraction models to reach AI decision levels
It’s not just about introducing new AI tools or processes only — strategic and structural questions also need to be addressed clear and precise at this point.
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operational, structural, and strategic levels
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iterative processes and retrospection
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interdisciplinary collaboration and communication
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clear prioritization and flexible adaptation
Data & Automation
I collaborate with teams to win hearts
and marketshare through AI and datapoints
Accurate and reliable data powers efficient processes and confident decision-making; without it, automation falters and innovation stalls. My initiatives bridge the gap by resolving integration and quality challenges, unlocking the full potential of AI-data-driven transformation.
to identify with me misconfigured data sources and joins, that led to unreliable analytics and decisions.
Let's measure time savings, cost reduction, self-service adoption, and user feedback.
to master with me complexity of data integration and governance with concise structure principles.
Let's measure data and revenue quality, self-service quotes, and time to decisions.
real-time data integration and dynamic segmentation with me to flip their unit economics into top.
Let's measure retention, degree of automation, result times, and ops efficiency.
I develop tailored solutions for more actionable data, higher-quality traffic, and increased revenue together with inhouse teams.
processing unstructured documents and built LLM-powered semantic search and question-answering systems.
Let’s enhance data quality, structure, and usage to improve Mean Reciprocal Rank and Semantic Answer Similarity.
mapping, transformation, and data harmonization with Anypoint APIs to unify systems for real-time data + automation
Let’s measure how many SaaS solutions in the company could be used more efficiently without silos by tracking.
Feedback within 24 hours guaranteed
Contact
I highly value meaningful, introspective conversations about Marketing, AI and the experience we orchestrate through technology.
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What do you do?
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What drives you to look for support?
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What are your goals and how will you measure success?