Enterprises are racing to deploy AI, but real ROI hinges on people; technology will not adopt itself. Mindstone builds the human capability that makes AI pay off, starting with a clear choice: automate for redundancies or augment for growth. It teaches leaders and teams to choose augmentation and then prove it with measurable results. Participants gain an average of five hours back each week, a 10% productivity lift, and AI usage typically doubles within its 10-hour program, moving from two to four hours weekly. That shift comes from habit formation, with one solid weekly use case at a time, building compounding momentum.
The engine is a mindset-first model: about 90% is changing how people see and use AI rather than touring tools. Live demonstrations remove skepticism, and emotional moments, such as showing people how AI can be (musically or visually) creative, help people connect differently with the technology. This learning is different. It has direct ROI. Simply understanding the last twelve months of AI advances can be worth a 20% to 30% productivity increase, and the gap will widen every year. Mindstone keeps teams on the frontier of what is possible, matching an innovation curve that now moves in weeks, not quarters.
Mindstone’s focus is generative AI for non-technical professionals, full stop, because that is where impact concentrates. The best way to help someone become a better manager is to help that person use AI to become a better manager. The same is true for communication, leadership, and every cross-functional skill. Mindstone is explicit about its audience as well. It exists to enable non-technical professionals. The big technology firms already spend on developers and data scientists. The people who make brands, operations, HR, finance, and sales run require a different kind of enablement. Companies that built the underlying models are not always the best at translating how to apply them in a non-technical context. Mindstone is.
What it brings to market is adoption and enablement, not just training. The journey begins by redefining AI as a teammate and a conversational partner, not a better search box. Once people see AI that way, they start spotting use cases where it adds value, from drafting and analysis to decision support. The next step is structure. Mindstone helps participants frame those use cases properly and extract the full advantage of the technology. Progress then becomes a continuous process that compounds. Participants gain back more time than they invest in the program, so the ROI is immediate rather than theoretical.
Customer reality makes the urgency clear. Many organizations treat AI enablement like another corporate learning initiative, scheduled over months or years. That does not work when the competitive advantage is measured in weeks. L&D functions are not always set up for this tempo. Mindstone solves the gap with a hybrid model that blends high-impact live sessions with an asynchronous platform. The live component convinces and energizes; the platform delivers fully contextualized, personalized learning that is optimized for impact. Every example and exercise is directly relevant to day-to-day work, so adoption sticks.
AI skills belong in every team. Mindstone turns learning into practical, hands-on upskilling that drives real results, helping companies compete today while people grow and unlock more of their potential. — Joshua Wöhle, CEO
Evidence from the field backs the claim. At Lufthansa Innovation Hub, teams struggled to turn AI knowledge into practical applications. After a four-week Enterprise AI Academy, adoption rose 52% from 31 to 83%, the group documented 29 unique use cases, 89% reported improved work quality, and 77% reported better decision-making. At Ten Lifestyle Group, a concierge services company with 1,000+ employees, the pattern held. Creativity rose for 69% of people. AI use grew 66%, from about 12 to 20 hours a month. Ninety-seven percent applied new skills immediately. Teams also documented 146 practical use cases. As Charlotte Knight, Director of Talent Development, put it, people became inquisitive, motivated, and talked about AI differently, which signals a deep cultural shift rather than a passing experiment.
Mindstone’s vision is to unlock the potential of humanity by bringing personal and professional growth to every individual, and it pursues that vision by helping non-technical professionals leverage generative AI. People operate at a fraction of their potential; AI is the fastest way to unlock it.
The company also cultivates the world’s largest practical AI community, with more than 25,000 attendees, in-person, participating at events across more than 20 cities each month. The plan is to reach 50 cities, train a billion people in the next five years, and partner with organizations that have delivery infrastructure but lack the expertise or platform to scale, through a mix of organic and inorganic growth. All of this acknowledges a paradox at the center of the AI era.
As systems become more AI-driven, people crave human connection even more. Fear recedes when understanding grows, and human contact creates the openness that adoption requires. The AI economy is not cooling. It is here to stay. Mindstone chooses augmentation over automation and helps companies do the same, on a timetable that matches the speed of the technology.