Task
A bounded unit of work performed by a person, service, or controlled capability.
Product
ScienzaOS coordinates the full research lifecycle, from evidence discovery and opportunity framing to governed institutional decisions, controlled action, and outcome learning.

Architecture overview
Stable contracts coordinate agents, data, tools, policy, authority, and guardrails without making any one model, provider, or workflow engine the source of business truth.
Review evidence governance
Workflow primitives
Small, durable primitives compose into decision workflows without hiding institutional truth inside configuration, model memory, or one provider.
A bounded unit of work performed by a person, service, or controlled capability.
A structured sequence of steps, evidence requirements, gates, and accountable roles.
A replaceable capability invoked with explicit parameters and operating constraints.
Find and rank relevant evidence while preserving source and access context.
Assess quality, rights, policy, uncertainty, and decision readiness.
Issue a governed decision bound to exact evidence, criteria, authority, and conditions.
Adaptive runtime
The runtime can refine plans and route capabilities while policy, decision state, and accountable human authority remain explicit.

Collect evidence, case state, policy context, and outcome signals.
Refine plans, capability choices, and next evidence within the approved boundary.
Run exact approved workflow steps and capture deterministic receipts.
Decision intelligence surfaces
Select an approved model, tool, data source, or human workflow according to purpose, quality, cost, latency, policy, and current availability.
Search institutional, partner, and public sources while preserving access decisions, citation, provenance, and freshness context.
Traverse relationships among entities, evidence, rights, methods, decisions, actions, and outcomes without replacing transactional records.
Institutional controls
Preserve the decision, rationale, evidence, authority, conditions, dissent, and outcome plan.
Put qualified people at significant decision points and bind approval to exact payloads.
Require automated checks, quality thresholds, policy results, and operating readiness.
Support identity, privacy, audit, observability, isolation, exports, and AI-off continuity.
Begin with one high-value decision workflow, validate measurable value and governance, then expand deliberately.
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