Which AI applications deliver quick impact — and which don't.
AI in customer service put to the test: results from a survey of 130 practitioners across customer service, consulting and integration.
Note: The whitepaper PDF is currently available in German only.
What you'll find in this whitepaper.
Practice-based orientation instead of AI hype
Structured assessment of 14 AI applications by value and implementation effort — including a clear ranking of where it's actually worth starting.
Concrete low-hanging fruits for a fast start
Which five AI applications deliver impact particularly fast because they support existing processes instead of replacing them entirely.
Transparency on effort and typical pitfalls
Not every widely discussed AI solution is a sensible starting point — which applications are organizationally and procedurally more demanding than expected.
A structured 5-step approach for your AI roadmap
A practice-oriented model: from understanding your own service processes through use-case prioritization to the make-or-buy decision.
"Two years ago, automating processes was the focus for many. But the technical and data-related prerequisites are demanding. So today, other equally attractive AI application areas are moving into the foreground: analysis and assistance."
Free PDF (in German).
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