PowerTrue separates machine-speed analysis from deterministic action and accountable human judgment. That boundary is how automation creates margin without creating production risk.
Advisories, CVEs, error logs, and telemetry are correlated and drafted into prepared decisions. AI proposes; it never touches a production system. Your data stays on models we operate, never an outside AI service without your written consent.
Anything that touches a system is a tested, version-controlled runbook. The same input produces the same action every time. There is no language model improvising commands on production.
Every action is made or approved by a named senior engineer, then logged and attributable. Automation prepares the work; accountability stays human.
AI is one layer inside a controlled operating system. It is not the operating system.
Operational collection and recordings stay in your environment.
Sensitive values are removed before approved data leaves its source boundary.
Third-party AI services are consent-gated in writing.
One client’s operational context is not mixed with another’s.
Every approved action maps back to a named engineer and an audit record.
Layering is the answer. Local-first is the primary control; scrubbing, isolation, consent gates, deterministic action, and human approval sit behind it. We do not pretend one filter makes sensitive operations safe.
See the model over your own findings: talk it through with Tanner, or read every line of AIXray yourself first.