We publish our decision frameworks and strategic theses. These analyses are for leaders who want to read the situation correctly before deciding.
Strategic intelligence in the AI era refers to the capacity of executive leadership to correctly read the dynamics of power, dependency and competitive advantage that AI is generating in their sector : and to make strategic decisions that preserve and extend their organisation's position based on that reading. It is distinct from AI strategy consulting, which focuses on deployment roadmaps and use case prioritisation: strategic intelligence focuses on the upstream decisions that determine which competitive positions are available, which dependencies are acceptable, and which trade-offs define the organisation's trajectory for the next 5 to 10 years.
The analytical framework underlying tointelligence's published positions rests on a founding thesis: sovereignty is the mastery of dependencies. In the AI era, this means that competitive advantage flows not from AI adoption per se : which is becoming universal : but from the quality of decisions about which AI dependencies to accept, which to avoid, and how to structure governance so that critical decisions remain at executive level rather than being delegated by default to vendors, systems or regulatory necessity.
The analyses published on this site are decision frameworks for executives facing structuring choices: the build/buy/partner trade-off, AI governance at board level, EU AI Act compliance strategy, the mapping of technological dependencies, and the dynamics of economic power concentration in AI-era sectors. Each analysis is designed to be directly usable in executive-level strategic discussion : as a structured reading of the situation that precedes and enables better decisions.