Evidence & Provenance
Ground decisions in traceable inputs, sources and context.
Platform
A governed architecture for decision intelligence.
LIBA IQ connects the components of consequential decisions into an inspectable, reproducible and evaluable system.
01System architecture
From raw inputs to evaluated outcomes.
The architecture separates each function so evidence, rules, models, judgment and outcomes can be understood in context.
01Data
02Evidence
03Deterministic intelligence
04Model intelligence
05Decision
06Action
07Outcome
08Evaluation
02System layers
Distinct capabilities. One decision record.
Deterministic Intelligence
Apply explicit calculations, rules and constraints where consistency matters.
Model Intelligence
Orchestrate models as governed components within a wider decision system.
Governed Workflows
Structure how evidence, judgment, approvals and actions move together.
Decision Memory
Retain what was known, considered and decided at a point in time.
Auditability
Make decision paths inspectable, explainable and reproducible.
Predictions & Outcomes
Connect expectations at decision time to what subsequently occurs.
Evaluation
Create the conditions to assess decisions, processes and components over time.
03Provenance and memory
Preserve what was known, what was inferred and why action followed.
Evidence
Sources, timestamps and transformations remain associated with decision inputs.
Decision memory
The state of evidence, assumptions and judgments can be retained at decision time.
Reproducibility
Deterministic logic and recorded context create a basis for review and reconstruction.
Governance is not an afterthought.
Controls, review paths and evidence trails sit around the decision process. Models contribute intelligence within those boundaries; they do not replace accountability.