The enterprise’s real processes live in conversations, runbooks, SOPs, spreadsheets, and legacy orchestrators. AutoX compiles them into governed agents — born with identity, scope, intent, and a sealed record — that start in shadow and climb, reversibly.
Point AutoLet at an incident-response playbook or an access-review procedure — it compiles a governed agent whose skill set and topology are fixed by the source.
Doc libraries and spreadsheet-driven processes become process definitions — reviewed by a human before anything is born.
Conductor, n8n, Temporal and custom orchestrations convert onto the Canvas with an honest per-field conversion report — nothing lost silently.
Web-mediated procedures register as sources with the same versioned, parented lineage.
The source process registers as the ground-truth baseline and judge. The new agent starts deterministic — replaying its source faithfully — then earns its way up the trust ladder, stage by stage, as sealed conformance accrues: shadow → assisted → supervised → autonomous. If the Trust Score dips, the agent is demoted in seconds and the deterministic path resumes underneath. Autonomy is earned — and reversible.
Agentic transformation is converting existing business processes — runbooks, SOP documents, spreadsheets, and legacy workflow automations — into AI agents that can execute the work autonomously. Prove7 does this under governance: the original process becomes the agent’s ground-truth baseline, and the agent earns autonomy only as its measured conformance allows.
Fix what the agent does at creation from a versioned source, register the source as the judge, start in observe-only shadow mode, promote autonomy stage by stage on sealed conformance evidence, and demote automatically on drift. Every step of the crossing is recorded on a hash-chained audit trail.
If you’re the one who answers when the machine acts — a CISO, a CFO, a COO — watch Prove7 Control Vector™ take an agent from discovered to governed to proven, live.
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