Insights & Theses
What we believe about AI strategy.
These positions are informed by advisory work with CEOs and investors, and by analysis published in major technology and business outlets.
01
The AI Clarity Gap Is a Leadership Problem, Not a Technology Problem
Most companies that struggle with AI don't have a technology problem. They have a clarity problem. Leadership teams feel pressure to 'do something with AI' but lack a structured way to evaluate which initiatives create defensible value and which are expensive distractions. The gap between AI hype and AI value is bridged not by better tools, but by better decisions.
Based on advisory work with mid-market CEOs and analysis published in CEOWORLD Magazine.
02
Strategic Deferral Is as Important as Strategic Action
The most valuable AI strategy deliverable is often the 'not now' list. Companies that say yes to everything dilute focus, overextend teams, and create vendor dependencies that are expensive to unwind. Knowing what to defer—and having the discipline to do so—is what separates strategic AI adoption from reactive AI spending.
Informed by patterns observed across multiple advisory engagements and discussed in TechBullion.
03
Vendor-Neutral Advice Is Structurally Undervalued
When the person recommending AI tools also sells or implements them, the advice is structurally compromised. Independent, vendor-neutral guidance ensures that AI decisions are made on merit—not relationships. This is especially critical for mid-market companies where a single wrong vendor commitment can consume an entire year's AI budget.
Core principle of independent advisory practice.
04
Bridging AGI Aspirations and Contemporary Business Value
The conversation about artificial general intelligence often obscures the practical question: what can AI do for your business today? Leaders need to distinguish between long-term technological trajectories and near-term operational opportunities. The companies that win are those that extract value from current AI capabilities while maintaining optionality for future developments.
Analysis published in Tech Times, September 2025.
05
The Labor Market Is at a Turning Point—AI Strategy Must Account for People
AI transformation is not just a technology initiative. It reshapes roles, skills, and organizational structures. Leaders who treat AI as a purely technical deployment miss the workforce dimension entirely. Effective AI strategy includes explicit plans for how people will work alongside AI systems, what skills need development, and which roles will evolve.
Analysis published in Dataconomy, July 2025.
Published Work
Articles and analysis.
CEOWORLD
Closing the AI Gap: How Katerina Andreeva Is Empowering Small Businesses Through Smart Innovation
Tech Times
Artificial General Intelligence Development: Bridging Theoretical Aspirations and Contemporary Reality
Dataconomy
The Labor Market at a Turning Point: AI Trends Through the Lens of Katerina Andreeva
TechBullion
The AI Gold Rush for Small Businesses: Katerina Andreeva's View
HackerNoon
How Katerina Andreeva Helps Small Businesses Adopt AI with Clarity