Every Feature You Need

Council evaluates every decision across configurable analytical dimensions — each representing an independent viewpoint. Dimensions operate concurrently and cross-validate each other. When dimensions disagree, the conflict is documented, confidence is adjusted, and the case is flagged for review.

Every recommendation carries a confidence score based on evidence strength and cross-dimension agreement. Confidence evolves as more context arrives — improving over time rather than depending on a single prompt. Low-confidence outputs are automatically flagged for human review.

All outputs are grounded in retrieved source data — documents, code, records, or system inputs — using retrieval-augmented generation. Every recommendation includes citations linking back to the specific evidence behind it. When source data is insufficient, the system states this explicitly rather than generating unsupported content.

Teams review, override, or approve recommendations at every stage. Users can inject additional context or constraints that reshape the deliberation. No automated action is executed without human authorization.

Every deliberation produces a permanent, immutable decision record: inputs considered, per-dimension analysis, confidence scores, synthesis rationale, evidence citations, and user actions. Records are searchable and retrievable for governance, compliance, and oversight.

Council does not stop after an initial assessment. As agents complete tasks, new data arrives, or circumstances change, Council re-deliberates with updated context. Previous recommendations are retained in the audit trail and superseded by current determinations.