Case Study: Launching a Dutch AI Consultancy
Jonathan Green
Bestselling AI Consultant & AI Podcast Host I Outsource Your Non-Money Making Tasks with AI to Grow Your Business | Slash Your Overhead by Up to 90%
Myriam Zwerver , an AI Business Strategist, was searching for practical ways to use AI and provide value to solo entrepreneurs. By enrolling in Jonathan Green’s Fraction AIO training program and participating in group coaching, she gained the tools and knowledge needed to scale her consultancy. Myriam used these insights to refine her services, win multiple clients, and even secure a government AI leadership role.
Introduction
About the Client:
Myriam Zwerver, based in the Netherlands, is an AI consultant specializing in helping solo entrepreneurs use AI to become more efficient and profitable. Before joining the Fraction AIO training program, she was passionate about AI but lacked a clear strategy to market her services effectively.
Initial Situation:
Myriam struggled with structuring her offerings and integrating AI tools in a way that added value for her clients. She had a strong understanding of AI but needed guidance on refining her approach, organizing her data, and scaling her business efficiently.
The Challenge
Operational Challenges:
Myriam’s clients, often solo entrepreneurs, needed AI solutions that fit their lean operations. She wanted to show them how to leverage AI to streamline their businesses but lacked a clear roadmap to deliver this value.
Market Challenges:
As AI became more mainstream, competition grew in the consulting space. Myriam needed a way to differentiate herself, especially as an AI consultant targeting small operators with limited resources.
Technical Challenges:
A major hurdle was managing the large datasets required for AI-driven projects. She worked with clients who struggled with organizing vast amounts of research data for books and business projects but hit limitations with traditional AI tools.
The Solution
Strategy Development:
Through Jonathan Green’s Fraction AIO training program and group coaching, Myriam learned how to apply AI to solve specific business challenges. The program emphasized the importance of focusing on clients’ pain points—such as saving time and reducing inefficiencies—rather than just showcasing AI’s flashy capabilities.
AI Adoption:
Myriam adopted tools like Copilot for meeting notes and Scrivener for organizing data. By combining these with custom GPT chatbots, she was able to overcome technical limitations, manage larger datasets, and provide clients with actionable AI insights.
Business Coaching:
While the training was delivered in a group setting, Myriam benefited from the insights of other participants and the structured learning process. The group coaching model gave her access to shared knowledge, enhancing her understanding of AI use cases and practical implementations.
Book Writing Assistance:
In one of the training sessions, a strategy was presented for helping clients consolidate massive amounts of data—like research materials for books—into a single document. Myriam used this approach with her clients, helping them simplify and streamline their AI-driven research processes.
Implementation Process
Timeline:
Over the course of several months, Myriam applied the lessons learned from the Fraction AIO program. She steadily improved her consulting practice, winning clients, delivering training sessions, and securing freelance jobs.
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Team Involvement:
While Myriam worked solo, the group coaching element of the Fraction AIO program provided her with peer support and feedback, helping her refine her methods and tactics based on shared experiences.
Customization:
Myriam implemented custom AI chatbots tailored to each client’s specific needs. By consolidating and organizing client data more effectively, she delivered AI solutions that went beyond the capabilities of basic tools, enabling her clients to see measurable improvements.
Tools and Technologies:
She used tools like Copilot to optimize data handling and project management. The combination of these tools allowed her to offer sophisticated AI solutions, such as chatbots and lead-generation models, to her clients.
Results and Outcomes
Quantitative Results:
Qualitative Results:
Client Testimonials:
"Jonathan’s Fraction AIO program helped me refine my AI offerings and focus on what really matters to my clients. As a result, I closed my first freelance AI job and successfully sold my clone chatbot service. I couldn’t have done this without the training and group coaching!" — Myriam Zwerver, AI Business Strategist
Key Takeaways
Success Factors:
The key to Myriam’s success was learning to target her clients’ pain points, like time-wasting processes, and providing AI solutions to solve those problems. The training program’s focus on practical AI applications made it easy for her to translate what she learned into real-world results.
Overcoming Obstacles:
Through the Fraction AIO group coaching model, Myriam was able to get guidance not only from the program itself but also from the shared experiences of other participants. This helped her overcome challenges like handling large datasets and structuring complex AI solutions for her clients.
Industry Implications:
Myriam’s work shows that solo consultants can leverage AI to compete with larger firms. By focusing on efficiency and providing tailored solutions, she has carved out a unique space in the AI consulting landscape, especially for small businesses and individual entrepreneurs.
Conclusion
Through the Fraction AIO training program, Myriam was able to gain the skills, tools, and confidence to grow her AI consulting business rapidly. Her ability to offer custom AI solutions, paired with the insights gained from group coaching, allowed her to secure freelance projects, win new clients, and even land speaking engagements. As Myriam continues to apply her knowledge, she is well-positioned for even greater success in the AI consulting industry.
Jonathan Green
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3 周Very helpful
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3 周Myriam's story is a solid reminder that AI can really give solo pros an edge. Who wouldn't want in on that action? Jonathan Green
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