Governance model

Davion is a platform, not an autonomous agent. The platform proposes. The operator approves. Every decision is reconstructable from the audit log. This page lays out the governance model.

The three rules

1. The platform proposes; it does not act. AlpOS surfaces recommendations, classifications, and pre-staged workflows. It does not move money, dispatch people, or trigger external systems on its own authority.
2. Every recommendation cites its sources. RAG outputs cite the specific document spans they were grounded in. Analytics outputs cite the rows they aggregated. Workflow proposals cite the ontology fields and policy rules that fired.
3. Approvals leave a signed trail. The operator’s approve/reject action is logged with the user identity, timestamp, source citations, and the version of the policy that produced the recommendation. The trail is signed and immutable for the retention window the institution specifies.

These three rules apply uniformly across the products — AlpOS, DAIMO, and every capability layer on top of them.

Audit reconstruction

For any decision, an auditor can ask the platform: what data did this rest on, which model produced the recommendation, what policy version was in force, who approved, and when? The answer comes back as a structured trace, exportable to the institution’s existing case-management or compliance system. Where the institution has a Splunk / Sentinel / Sumo SIEM, the trace can be tee’d in real time.

Policy as configuration

Read, write, and use policies are part of the ontology (see Ontology). Changes to policy ship through the same signed-update channel as code changes. There is no second-class admin console for policy edits that bypasses change control — if it is policy, it is reviewable, versioned, and signed.

What this rules out

The model deliberately rules out the “AI takes action while a human reviews summary metrics later” pattern. We have seen that pattern fail too often in operational environments — by the time the metrics show the problem, the platform has already done the wrong thing dozens of times. Davion is built for the inverse: AI proposes, the operator decides, the audit log is the source of truth.

What this is not

It is not a guarantee that every output is correct. Models hallucinate. Heuristics misfire. The governance model exists to make those failures visible, attributable, and recoverable — not to claim they will not happen.