EUWarden builds AI SDLC — a software delivery process where teams of humans and AI agents ship autonomously, and every result is proven, not declared. Code is no longer the bottleneck. Control is.
A task is done when the commit, test results and logs say so — never because an agent claims it is.
Development, QA, security and release gates that no agent can bypass. No evidence, no progress.
Roles and hand-offs like in a well-run human organization — enforced by machines, audited end to end.
Founded by Michał Sitarski after 20 years of leading software delivery organizations — up to ~120 people at peak. Today most of that team are AI agents.
The process runs daily on real product work, including VaultPAM — a privileged-access-management security product for European companies, built to audit-ready standards (SOC 2 / ISO 27001 / NIS2-ready). In security, "it probably works" does not exist.
EUWarden also helps organizations adopt AI SDLC: process design, people retraining, and the oversight that keeps autonomous delivery under control.
This is the AI SDLC model behind EUWarden in one picture: humans and AI agents in defined roles, the tools and processes around them, and the quality gates every result must pass.
Michał documents this work as it happens in a series on LinkedIn — the model, each pillar in depth, and honestly: what breaks and what holds when AI agents deliver production software.
The series is written in Polish.
Curious what controlled autonomous delivery would look like in your organization?