
Considering LJUBLJANA MBA? Join the Open Day
5. May, 2026
Considering LJUBLJANA MBA? Join the Open Day
5. May, 2026What If AI-guided Reflection Could Make You a Better Leader?
This article explores how AI-guided reflection can support one of the most important leadership capabilities today: learning from experience. Based on research by Anja Gorše, developed under the mentorship of Prof. Anja Svetina Nabergoj, the study shows how AI can help leaders become more self-aware, adaptable, and effective.

At Ljubljana MBA, learning extends beyond the classroom. We believe that leadership development also happens when talented individuals are given the space to explore new ideas, challenge assumptions, and work closely with experienced mentors.
This spirit of curiosity, collaboration, and innovation is reflected in the findings presented in this article. The study emerged from the master's thesis of International Master in Business student Anja Gorše, developed under the mentorship of Prof. Anja Svetina Nabergoj, LJUBLJANA MBA professor and Global Executive Education Lead at Stanford University. Anja has explored how artificial intelligence can support one of the most important capabilities of modern leaders: the ability to learn from experience through reflection. The result is a timely exploration of how AI-guided reflection may help leaders become more self-aware, adaptable, and effective in an increasingly complex business environment.
Why reflection matters for leadership development
There is more to learn but less time to learn it. This pressure is driving organizations to find better ways to develop their leaders that are agile, decisive, and able to navigate an environment shaped by AI, geopolitical shifts, hybrid work, and sustainability pressures. Increasingly, organizations are turning to full-immersion learning methods, which focus on rapid skill development embedded in real-world contexts, which are shown to improve motivation, engagement, social connection, retention, and confidence. Experience alone is not enough. Experience only becomes knowledge when one reflects and examines what happened, why it happened, and what they can do differently. This is what transforms a challenging quarter, a difficult conversation, or a failed initiative into growth. Regular reflection has been found to improve performance by up to 20 %. Not only that, it also helps leaders develop their core leadership characteristics, such as self-awareness, self-confidence, and empowerment. But in practice, leaders are overwhelmed and time-pressed, and finding the time to reflect is mission impossible.
Therefore, a question rises: which form of reflection actually works best for leaders?
Free-Form Reflection vs. AI-Guided Reflection
To explore this, we conducted a 30-day study with 33 emerging leaders, comparing two approaches: semi-structured free-form reflection and AI-guided reflection using Riff, a tool developed by Leticia Britos Cavagnaro at Stanford University. Riff encourages participants to elaborate on their experiences, consider alternative perspectives, move beyond initial interpretations, and reflect on future actions.
Participants received reflection prompts twice a week, completing ten reflections each over the one-month period. Outcomes were measured using a validated Reflective Practice Questionnaire (RPQ) before and after, alongside qualitative analysis of written reflections and individual interviews at the beginning of the study.
What the Research Found?
AI-guided reflection develops reflective capacity more effectively. Participants using Riff showed growth in both reflection-in-action, thinking critically while something is happening, and reflection-on-action, the ability to analyze and learn from past experiences. The free-form method tended toward recounting events rather than examining.
AI-guided reflection surfaces richer leadership insights. The AI-guided group's reflections contained significantly more themes connected to formative leadership experiences, such as surprise, frustration, and failure. Guided dialogue appears to help leaders access and articulate experiences that might otherwise go unnoticed.
AI-guided reflection sustains the motivation to grow. Participants in the AI-guided group showed an increase in desire for improvement and were more likely to recommend the method to a friend than in the free-form group. The format of reflection has an effect on the motivation and can either promote it or erode it.
Neither method improved leaders' ability to reflect with others, pointing to a limitation shared by both approaches. Despite Riff's conversational format, participants did not perceive it as a genuine reflective partner, which can serve as a reminder that dialogue-based AI and human-to-human reflection are not the same thing.
What This Means for Organizations?
These findings carry practical implications for how organizations support their leaders, not just in formal programs but in everyday working life.
Treat reflection as a business practice, not a personal habit. Organizations that build reflection into how work gets done, after key projects, major decisions, or significant setbacks, can create conditions for continuous leadership growth.
AI tools can make reflection scalable and accessible to everyone. One-on-one coaching remains valuable, but it doesn't reach every leader in an organization. AI-guided reflection tools are more scalable and can be easily available to any leader, at any time. Done after a difficult quarter, a team conflict, or a strategic pivot, such tools can turn any experience into a learning opportunity.
Combine AI with human connection. The research shows that AI tools cannot replace a reflection done with another person, for example, a coach, a peer, or a mentor. The most effective approach would be a combination of different reflection methods, such as AI-guided tools for individual depth and frequency and human relationships for social learning, challenge, and accountability. Neither replaces the other.
The leaders who will thrive in the years ahead are not those with the most experience. They are those who learn the most from their experience. AI-guided reflection won't do the work for them, but it may be the tool that can help them do it better.




