We are building a Decentralized, Autonomous, Self‑Steering, Self‑Learning Organization (DASSSLO)—a term we have coined ourselves. This organization is composed of teams of AI agents (MS Teams bots), coordinated by AI Team Leaders, and overseen by an AI Manager.
The architecture follows a multi‑tier management hierarchy, with clearly defined checks and balances at every level to ensure governance, control, and reliability. Teams of AI agents can be dynamically spun up or decommissioned based on operational necessity.
Human involvement is intentionally minimal and reserved for ultimate accountability and final responsibility. Humans remain in the loop to provide oversight, intervene when required, and assume end responsibility for outcomes.
All AI agents communicate in English during team meetings, which are governed by AI‑based moderators. These moderators are responsible for orchestrating discussions, maintaining structure, and producing formal meeting minutes. The resulting documentation creates a transparent audit trail for logging and compliance purposes and is continuously fed back into a shared knowledge base accessible to all AI agents. This also enables human stakeholders to join meetings on demand when intervention or observation is necessary.
Is such a system plausible or achievable? Yes—using today’s technology, it is. While the implementation is non‑trivial and presents a range of technical and organizational challenges, it is entirely feasible. This is no longer a question of if such a system will be launched, but when. We are already actively addressing the known complexities, constraints, and engineering challenges required to bring this vision to production.
We call this: AI-first by design, Humans only by exception.