Method and architecture

Deterministic AI Infrastructure

Q²-SODI separates scoring from generative AI. Within the same instrument and scorer version, identical structured answers produce the same score. When enabled, AI helps explain a completed Diagnostic or Synthesis result. It does not calculate or change the score.

AI assists with language. Versioned rules determine the score.

A generative model can produce different language from the same prompt. That variation can be useful when drafting text. It is not appropriate for the calculation behind a score that an executive may compare over time.

Deterministic AI Infrastructure (DAII) separates scoring from model assistance. Proprietary, versioned rules turn structured answers into a score. When enabled, a language model helps explain a completed Diagnostic or Synthesis result using selected evidence. It does not calculate or set the score. Generated interpretation can contain errors and requires review. The current Diagnostic uses guided questions; interview mode is not available.

The scoring rules stay fixed within each version. That is what “deterministic” means here. The rules do not learn from prior runs, change with usage, or vary by who is asking. Different structured answers can produce different scores, whether they come from another participant or a later compatible run.

DETERMINISTIC ENGINE (DAII) Your answers Deterministic scoring 67 67 67 Same answers: same score, every run Different answers same engine 41 Different score RAW LANGUAGE MODEL Your answers Model guesses 63 71 58 Drifts run to run
Illustration: the first response set scores 67; a different response set scores 41. The lower row shows how asking a language model to invent the score could produce varying numbers.

Compare compatible results. Keep financial estimates separate.

A later compatible run can show whether the responses changed; it does not, by itself, explain the cause or establish an audited financial return. Time, labor-cost, and recoverable-capacity scenarios use separate customer-provided inputs.

Instrument revisions are recorded as new versions. A revision may add, remove, or change questions or scoring rules. Results from unlike versions should not be treated as directly comparable unless documented compatibility rules permit it; otherwise, the later run establishes a new baseline.

Check compatibility

Use the saved instrument and scorer versions to determine whether two results can be compared.

Review the explanation

Check the AI-assisted interpretation against the selected evidence. Automated checks do not guarantee accurate interpretation.

Inspect the assumptions

Review the operational inputs behind time and cost scenarios before using them to plan a change.

Read the research behind the architecture.

“From Tokens to Outcomes” explains the Deterministic AI Infrastructure proposal and the enterprise economics that motivated it.