SwarmOps is the management layer that makes an AI workforce safe to run in a real company. A six-agent AI company (CEO, PM, Developer, Security, QA, Finance) runs real missions under deterministic governance: production deploys pause for human approval, unauthorized data exports are blocked, and every action is written to an immutable, Postgres-backed audit trail. When a mission finishes, the workforce safely self-evolves — each agent is scored from persisted data, improvements become new immutable versions, and high-risk upgrades require the same human approval as a production deploy. The enforcement path contains no LLM and no randomness, so governance is fully deterministic and auditable.