The Humanist in the Prompt: Why the Future of Coaching Depends on AI Fluency, Not Automation

A conversation with Rebecca Rutschmann—AI Coaching Pioneer, Consultant, and Co-Founder of Viva la Coaching Academy—on closing the GenAI divide, prompt design, and keeping human relationship-building at the core of developmental coaching.

By Louise Servoin · 2026-10-29 · 10 min read

## Rebecca Rutschmann – AI Coaching Pioneer & Thinker | Co-Founder, Viva la Coaching Academy | Host of "The Edge of Human & AI" Podcast

Expert in Human-AI Intelligence, Prompt Design, and Coaching Science. ICF (PCC) and EMCC (SP) accredited. Based in Karlsruhe, Germany.

Some professionals understand the code. Others understand the human psyche. Rarely do you find someone who can navigate both while pioneering the transition into machine-mediated professional development.

Rebecca Rutschmann’s trajectory—from studying International Management with a major in Media and Computer Science at Fachhochschule Aalen, to certifying as a business coach in 2008, co-founding the digital self-coaching platform evoach in 2018, and launching the Viva la Coaching Academy in 2024—places her at the absolute vanguard of the AI coaching frontier. As the creator of Alpina, one of the first generative AI-driven coaching agents ever evaluated against global coaching competencies, her work systematically bridges the gap between digital user experience and human-centered development.

We sat down with Rebecca to discuss why coaches must move beyond basic tool training toward true "AI fluency," what recent empirical research reveals about how chatbots change client behavior, and why being human is the ultimate competitive advantage in an automated era.

## The Hybrid Architect

Rebecca, you have a unique background that combines computer science, media, and systemic business coaching. How does having one foot in technology and the other in human development change how you approach AI?

They are deeply interconnected. When I started working as a business coach in 2008, I noticed a clear pattern: young, technically skilled leaders in high-tech environments weren't struggling with technical systems, they were struggling with the human side of leadership and people management. My background in management and computer science and UX design taught me to look at structures, interfaces, and systems. Coaching, on the other hand, gave me the language and frameworks to support human growth.

When generative AI entered the scene, most people saw a threat or a magic trick. Because of my background, I saw a design opportunity. AI is not here to replace the coach but to handle preparation, process tracking, administrative follow-up, and structured cognitive exercises and reflections, freeing the human practitioner to focus entirely on deep, transformational, and somatic dialogue. It’s about building a hybrid structure where technology amplifies human potential.

## The Foundations of AI Literacy

You co-founded the Viva la Coaching Academy in 2024 with a mission to build "AI Fluency" rather than just teaching people how to use tools. What is the difference, and why does it matter?

Many professionals in coaching and corporate learning are not resistant to AI because they don't care, they are overwhelmed, underprepared, or fearful of getting it wrong. The standard response is to offer quick tool-training: "Here is a list of ChatGPT prompts to write a social media post." That is not literacy, that is just convenient fast food prompting.

AI Fluency, which is what we champion at Viva, is about learning how to think with machines, not just through them. It requires understanding the underlying logic, the ethical implications, and data compliance frameworks like GDPR and the EU AI Act. When a coach achieves AI fluency, they can confidently design safe, customized reflection companions for their clients. They move from being passive consumers of technology to active, responsible experience designers.

"As AI becomes a given, humanity remains the ultimate differentiator." — Rebecca Rutschmann

## The Research-Backed Reality

You have dedicated a significant portion of your career to empirical coaching science, collaborating with global scholars. What has the research shown you about how clients actually interact with AI coaches compared to human ones?

The empirical data has given us some incredibly counterintuitive insights. In 2025, I co-authored a study with Jonathan Passmore and David Tee, where we evaluated transcripts of text-based coaching sessions between my generative AI agent, Alpina, and 43 middle managers. We had credentialed ICF assessors mark the transcripts using the ICF’s Behaviorally Anchored Rating Scales (BARS). The findings showed that Alpina demonstrated process compliance equivalent to an Associate Certified Coach (ACC) in areas like ethical practice and active paraphrasing. Yet, the assessors also noted a clear lack of nuanced, subjective judgment during complex, emotionally laden ethical scenarios.

In a 2026 experimental study with Nicky Terblanche and Jonathan Reitz involving 592 participants, we compared GROW, Solution-Focused, and Cognitive Behavioral Therapy (CBT) chatbots. In human coaching, the psychological model used generally has a negligible impact on outcomes. But in the AI context, the CBT-based chatbot did not differ on goal attainment, but significantly outperformed the others on working alliance, perceived effectiveness and adoption (attitude and intention to keep using it). Why? Because a chatbot is perceived as a completely neutral, non-judgmental space.

Drawing on Self-Determination Theory and Transformative Learning Theory, CBT succeeds in conversational AI because it introduces productive cognitive tension without social threat. CBT actively challenges assumptions and reframes cognitive distortions. When a human coach does this, it can occasionally trigger defensiveness or social anxiety. When a non-judgmental AI chatbot does it, the user feels safe enough to lean into the discomfort and do the deep cognitive restructuring.

## The Question of the Future

As generative AI models become increasingly sophisticated at simulating human-like conversation, what is the one human capability that you believe an algorithm will never replicate?

Genuine presence. An AI coach can paraphrase, structure a goal using the GROW model, or guide you through a CBT cognitive loop. What it cannot do is sit in a room—virtual or physical—and register the microscopic shift in your voice, the sudden tension in your shoulders, or the heavy silence that precedes a breakthrough.

The machine operates in the domain of text, logic, and patterns. Human coaching operates in the domain of relational resonance. AI can map the path of reflection, but the human coach provides the container of presence and deep connection that allows a client to step into the unknown.

## The Golden Thread

We often see a gap between what technology can do and what professionals actually adopt. How do we ensure AI becomes a 'co-pilot' that elevates human judgment rather than a tool that encourages intellectual passivity?

Intellectual passivity happens when we design and use AI to be frictionless. Right now, most generative tools are built like sycophants: they validate our ideas, agree with our biases, and reward speed over depth. But human growth and clear judgment don't come from a digital echo chamber; they come from friction, reframing, and having our assumptions gently challenged.

To ensure AI acts as a true co-pilot that elevates human judgment, we have to intervene on two fronts:

In system design: We must stop leaving AI architecture exclusively to software engineers. We need humanists, systemic coaches, psychologists, and ethicists co-designing these systems to ensure they hold up a mirror, introduce productive cognitive tension, and prioritize human flourishing over mere conversational agreement.

In user capabilities: We have to bridge the AI literacy gap. Right now, organizations offer quick tool training that turns people into passive copy-pasters. True AI fluency means teaching professionals how to think with machines—developing the evaluative habits, curiosity, and critical judgment needed to audit and challenge AI outputs rather than blindly delegate thinking to them.

Ultimately, the benchmark for a great AI co-pilot shouldn't be how quickly it gives us an answer, but how effectively it pushes us to ask a better question

Tags: AI in Coaching, Professional Development, Prompt Design, Coaching Science, Human-AI Intelligence, Viva la Coaching