PSOF v1.0
Our Approach
Observe everything. Authorize deliberately. Automate safely. Prove outcomes.
We sell controlled operational outcomes — design, installation, governance, and improvement. Not certification theater. Not unbounded AI in production.
Operating principles
Business service first
Every system maps to a service, owner, user impact, and value metric.
Evidence over assertion
No control is implemented until evidence shows it exists, works, and has an owner.
Least authority
Humans, services, and agents get minimum access for the approved action and period.
Observability before autonomy
Visible, baselined, recoverable — then AI action authority.
Reversible by default
Previews, staged writes, canaries, backups, defined rollback.
Human accountability
AI may recommend or execute within policy; a named human remains accountable.
One source of operational truth
Services, assets, incidents, changes, controls, and decisions link through canonical records.
Continuity is proven
Backups are not recovery. Restore tests and exercises prove continuity.
Maturity model
You cannot skip to agentic autonomy because a demo works. Each level requires proof of the levels below.
Unknown
Incomplete or undocumented systems and owners
Visible
Critical services, assets, owners, baseline metrics identified
Controlled
Access, change, incident, backup, security controls documented and used
Reliable
SLOs, actionable monitoring, tested recovery, stable delivery
Predictive
Correlation, anomaly detection, proactive problem and cost management
Governed autonomous
Bounded agents execute approved reversible actions with eval, audit, budgets, kill switch
Delivery lifecycle
Qualify → Assess → Design → Build → Verify → Transition → Operate → Improve
- No production write access before design/change approval gates.
- No autonomous production action before maturity and autonomy-control gates.
- No managed-service transition without documentation, support boundaries, and billing authorization.