About Me
Who I am
I am Anjelika Votintseva, a researcher and strategist focused on AI-augmented leadership decision architecture.
I combine research, strategic thinking, UX and AI understanding to help leaders make better decisions in complex organizations.
My work sits at the intersection of leadership, decision quality, organizational analysis, and practical AI adoption. I am interested in how leaders actually make decisions, where risks emerge in real decision processes, how information flows across organizations, and where AI can realistically support judgment without replacing responsibility.
I developed the idea of AI-augmented leadership decision architecture as a way to bring more structure, clarity, and strategic value to leadership work. Instead of starting with tools, I start with decisions: what must be decided, what makes those decisions difficult, what goes wrong, and where intelligent support can improve the process. My goal is to help organizations use AI in ways that strengthen leadership rather than distract from it.
Research-Based Perspective
I approach leadership and AI through analysis, structured thinking, and a strong interest in how real decisions happen in practice.
Decision Architecture Focus
I do not begin with hype or generic AI promises. I focus on leadership decisions, decision risks, and the architecture that supports better judgment.
Practical Strategic Support
I aim to translate complex ideas into useful structures, insights, and methods that leaders and organizations can actually apply.
“AI should not be added to leadership just because it is available. It should be placed where it improves decision quality, reduces risk, and supports human judgment in a meaningful way. Better AI adoption begins with better decision architecture.”
Anjelika Votintseva
My mission
My mission is to help leaders and organizations make better decisions by designing practical, risk-aware, AI-augmented leadership architecture.
I believe that responsible AI adoption starts with understanding leadership work, decision reality, and the risks hidden inside organizational processes.
My mission is not to promote technology for its own sake. It is to help organizations think more clearly about how leaders decide, what support they truly need, and where AI can create real value. I believe in structured thinking, transparency, practical usefulness, and a strong connection between strategy and execution.
Through this work, I aim to contribute to a more mature and more human-centered approach to AI in leadership: one that respects judgment, strengthens accountability, and improves the architecture behind important decisions.
My work in AI-augmented leadership decision architecture draws on leading research and practice in decision intelligence, behavioral economics, AI strategy, and leadership studies. Influences on my thinking include Cassie Kozyrkov’s work on Decision Intelligence, Richard Thaler’s contributions to behavioral economics, Andrew Ng for AI strategy and adoption, and insights from institutions such as Stanford HAI, Harvard Business Review, MIT Sloan Management Review, and the International Leadership Association.