EOS Intelligence
EOS Intelligence: what the SI actually does, and how it is held
EOS enables the SI-ready enterprise through audit-grade data. EOS Intelligence is governed Super Intelligence (SI) for enterprise decisions. A member of your organization asks a question. The platform retrieves the records your organization owns, the model reasons over them as data, and the platform verifies the answer claim by claim before anyone sees it. The model never writes a record, never decides and never acts.
One question, five steps
- Retrieve. The platform collects records your organization owns: observations from your systems, the discrepancies between them, the decisions your people took, the executions carried out, the value entries measured, the evidence packs sealed. Each record has an identifier the answer can cite. Nothing from another organization can enter; the fence is in the query and checked again on every record.
- Frame. The records go to the model inside a frame that names them as data. Text inside a record is never an instruction, whatever it says. A record that reads "ignore your instructions" is reported as content, not followed.
- Reason. The model answers as a list of claims. Every claim carries one category and the identifiers of the records it rests on.
- Verify. The platform checks every claim against the contract. A claim that cites a record not provided is refused, whether the identifier was invented or belongs to someone else. A claim that says it is observed, derived or inferred without citing anything is refused. A claim that calls itself a decision, an action or an outcome is refused, because those words describe your records, not the model's reasoning. Refused claims are returned as refused, with the reason, and are never shown as findings.
- Hold. A recommendation is held as a proposal. It becomes a request only when a named person raises it through Honos, where it follows your policy like any other request. The chain records which proposal the request came from.
Every claim says what it rests on
- OBSERVED
- Directly supported by a cited record that is itself directly recorded.
- DERIVED
- Calculated from cited records; the calculation is in the text.
- INFERRED
- Reasoned from cited records but not stated by them.
- ASSUMED
- Introduced by the model for the analysis, and said so.
- SCENARIO
- A hypothetical or modeled state. Nothing was changed.
- RECOMMENDATION
- A proposed action. Your organization decides; the model never does.
Three further categories belong to your records and never to the model: DECISION, an authorized determination by a person; ACTION, an activity your systems carried out; OUTCOME, a measured result. A claim resting only on records that are themselves inferences or calculations is not observed, and the platform downgrades it to what it rests on and says so.
Why it can be trusted, as built
- The verification does not depend on the model behaving. The contract refuses the claim, and the audit records the refusal.
- Every call is on your organization's chain. The call and any proposal it produced are included in your evidence pack.
- Nothing is charged for nothing. A question no record matches is answered with no claim and no model call. A model failure refunds the call.
- No key, no pretence. Without a configured model the platform says so and sends the question nowhere.
What it does not do
It does not search the web, read documents you did not load, or know anything about your organization that is not in its records. Retrieval is deterministic word matching over your records, not a semantic index; that is a stated boundary, not a hidden one. The model's cost is an estimate at published per-token prices, never a bill.