Data · Systems · AI · Governance
Data is changing.
Human judgment still matters.
GBSN helps organizations analyze data, design and build the systems around it, control how people and AI use it, and verify that everything works as intended.
What GBSN does
Five capabilities. One connected approach.
From the data you have today to the systems, controls and outcomes you need next.
Process & Analyze
Turn data into evidence, analysis, reports, datasets and models.
Design
Define how data, systems and responsibilities should work together.
Build
Create the pipelines, integrations, workflows and infrastructure.
Control
Set the rules for how people, software and AI may use and act on data.
Assure
Test whether the data, systems, controls and AI-assisted outputs work as intended and are reliable enough for their intended use.
The AI layer
The same capabilities—extended to AI.
GBSN applies the same approach to traditional data work, AI-enabled systems and agentic operations.
Data work and operational systems
Research, reporting, data architecture and operational infrastructure.
People perform and supervise the work.
Analysis with models in the workflow
Model integrations, AI-assisted analysis and governed workflows.
People review, decide and handle exceptions.
Systems that coordinate and act
Agents operate within defined data, decision and action boundaries.
People set boundaries, authorize action and audit outcomes.
GBSN Data Orchestration Suite
Three distinct components. One connected operating model.
ADGL defines the governance model. KEE operationalizes and manages governed policies. ORL evaluates whether outputs, classifications, claims, decisions and proposed actions are sufficiently reliable for their intended use. Each component retains a distinct role and can also be used independently where appropriate.
01 · Governance framework
AI Data Governance Layer
An implementation-neutral governance framework for defining what knowledge may be used, what analysis is permitted and what consequences may follow.
02 · Policy operations
Knowledge Execution Engine
Define, manage, distribute, implement and monitor governed policies within an organization’s perimeter.
03 · Operational reliability
Operational Reliability Layer
Evaluate whether outputs, classifications, claims, decisions and proposed actions are sufficiently reliable for their intended use and return an explicit outcome: TRUST, REVISE or REJECT.
ADGL · Developed by GBSN Research
Define what AI may use, analyze and do.
The AI Data Governance Layer separates three questions that should never be collapsed into one.
ADGL is an implementation-neutral working research specification. GBSN discloses its commercial interest and the current limits of the public evidence.
GBSN Data Orchestration Suite · Available on request
Configure the Suite around the workflow.
ADGL provides the governance model, KEE operationalizes and distributes governed policies, and ORL evaluates whether outputs, classifications, claims, decisions and proposed actions are sufficiently reliable for their intended use.
Engagements can use individual components or an integrated configuration, depending on the governance and operational requirements.
See it working
Test the public reference cases.
The Hugging Face dataset and interactive demonstration make the current eight ADGL cases inspectable and testable.