From first deployment to a fully autonomous governance operating system — the five stages every engineering organisation travels with Tomosu AI.
Tomosu AI installed on the primary codebase. PRI baseline computed. First merge gates configured on key repositories.
Single team; governance running in observation mode alongside existing code review. Engineers see their first Production Risk Index score.
Multiple teams enforcing merge-gate policies. Governance actively blocking risky merges. First measurable drop in support ticket volume.
1–3 critical policies live in production. Fragility and drift scores surfaced weekly to engineering leads.
PRI driving cross-team visibility. Drift detection and fragility scoring active across all repos. C-suite awareness of production risk health established.
MTTR declining significantly. Engineering leadership tracks governance metrics in weekly planning cycles.
AI-assisted root cause analysis. Automated patch suggestions. Knowledge base auto-generated from governance signals. Outage rate approaching zero.
Governance delivering measurable ROI. Finance and engineering aligned on deployment risk reduction targets.
All deployment decisions informed by live governance data. Predictive risk, automated compliance, and enterprise-wide PRI orchestration across every team.
Tomosu AI is the connective tissue of engineering — integrated into CI/CD, incident response, and roadmap planning. Governance as competitive infrastructure.
Most teams start at Stage 1 within a single sprint. Let us show you the path forward.
Book a Maturity Assessment