Core Principles
Five operating principles for building AI systems that remain governable and coherent over time.
Architecture as Authority
We do not rely on prompt engineering for control. We use architectural boundaries to define what the system knows, can do, and who it serves.
Agency and Autonomy
Systems designed to reason and act within defined scopes, beyond chat interfaces, with clear boundaries and oversight.
Memory and Context
Long-term state management that survives individual sessions, allowing the business to build institutional memory.
Governance
Security and compliance are not afterthoughts. They are embedded in the core operating logic of the system.
Long-term Alignment
Designed for longevity. Building systems that evolve with the business rather than requiring constant rebuilds.
Kanita is a deliberately scoped system developed to explore how AI participates in high-stakes strategic decision-making over time including questions of agency, accountability, and governance.
Kanita (in Swedish)