Govern AI systems with structure, evidence, and validation.
AIGO Framework provides a structured foundation for governing AI systems through defined principles, governance domains, lifecycle processes, risk management, evaluation, validation, and evidence-based decision making.
AIGO does not replace the AI system, model, application, or infrastructure. It provides the governance framework around them—connecting requirements, roles, evaluations, decisions, controls, evidence, reviews, and outcomes.
A structured framework for governing AI.
AIGO provides a structured approach to AI governance that can be applied across AI systems, organizations, use cases, and operating contexts. The framework brings governance principles, domains, roles, lifecycle activities, risk management, mappings, evaluation structures, and validation mechanisms into a consistent model.
Framework-based governance
Apply defined governance principles, domains, terminology, roles, controls, and requirements to create a consistent foundation for governing AI systems.
Lifecycle governance
Govern AI systems across their lifecycle, from registration and classification through evaluation, review, approval, validation, monitoring, and reassessment.
Risk-based evaluation
Evaluate AI systems against applicable governance and risk-management requirements while preserving structured results, evidence, review requirements, and actions.
Structured and machine-readable
AIGO defines structured schemas, mappings, evaluation structures, validation fixtures, and orchestration mechanisms that can support implementation in software and governance workflows.
From AI system registration to continuous governance.
AIGO treats governance as an ongoing lifecycle rather than a one-time compliance activity. Governance activities can be applied according to the AI system, its intended purpose, applicable requirements, risk context, organizational roles, and changes over time.
Register
Establish the identity, purpose, ownership, entity information, and governance context of an AI system.
Classify
Determine the applicable governance domains, requirements, risk considerations, and evaluation scope based on the system and its intended use.
Evaluate
Evaluate the AI system against applicable governance rules, controls, and requirements and produce structured results.
Review
Identify evaluations and decisions requiring human or organizational review and maintain the corresponding review state and evidence.
Approve
Use evaluation results, evidence, risk information, and governance decisions to support applicable organizational approval processes.
Validate
Validate governance schemas, mappings, rules, evaluation structures, orchestration behavior, and expected results.
Monitor
Maintain governance after deployment and identify changes, events, or conditions that may require additional review or reassessment.
Reassess
Re-evaluate AI systems when their models, configurations, purposes, controls, operating conditions, or governance context materially change.
Turn governance requirements into structured results.
AIGO provides a structured evaluation model for applying governance rules to AI systems and producing machine-readable results that can support applications, dashboards, workflows, organizational review, and governance decisions.
Governance becomes structured evidence.
AIGO represents governance information in structured form so that results can be stored, inspected, validated, integrated, tested, and consumed by applications, dashboards, workflows, and human review processes.
Outcomes
Capture the resulting governance decision and processing status of an evaluation.
Reviews
Record whether human or organizational review is required and maintain the associated review state.
Actions
Preserve governance actions associated with applicable evaluation rules and results.
Conflicts
Surface governance conflicts and conditions that require attention or resolution.
Evidence
Connect governance requirements and decisions to structured evaluation information and supporting evidence.
Errors
Preserve explicit processing and evaluation errors instead of hiding conditions that affect governance results.
Connect governance requirements into an executable process.
AIGO orchestration connects evaluation requests, applicable governance rules, rule results, actions, conflicts, review requirements, evidence, and final outcomes into a consistent processing model.
AI System
AI applications, agents, models, workflows, assistants, decision-support systems, and other AI-enabled products.
AIGO Governance Layer
Principles, domains, registration, classification, risk management, rules, controls, mappings, evaluations, reviews, validation, and governance orchestration.
Structured Governance Result
Outcomes, rule results, actions, conflicts, review state, evidence, errors, and processing status.
Governing an AI recruitment system.
Resume screening and candidate ranking
An organization deploys an AI system that screens resumes and ranks candidates. AIGO can provide the governance framework around the system, connecting its identity, intended purpose, applicable requirements, risk context, evaluation rules, controls, reviews, evidence, and governance decisions.
- 01RegisterRecord the AI system, purpose, ownership, entity information, and governance context.
- 02ClassifyDetermine the applicable governance domains, requirements, risk considerations, and evaluation scope.
- 03EvaluateEvaluate relevant requirements such as risk management, human oversight, transparency, testing, controls, and applicable governance obligations.
- 04ReviewRequire human or organizational review where the applicable governance rules determine that review is necessary.
- 05RecordPreserve evaluation results, actions, conflicts, review state, processing status, and supporting evidence.
- 06ReassessTrigger a new governance evaluation when the system, model, purpose, configuration, controls, or governance context materially changes.
AIGO can sit around the AI stack you already use.
AIGO is designed to complement AI development, deployment, and automation technologies rather than replace them. The framework provides a governance layer that can be integrated with applications, workflows, AI systems, and existing organizational processes.
AI applications
Connect governance to custom AI applications, SaaS products, internal tools, and decision-support systems.
Agent systems
Apply governance structures to systems built with multi-agent frameworks and orchestration technologies.
Automation platforms
Integrate governance evaluations and controls into automated workflows and organizational processes.
Data & evidence systems
Store structured governance records alongside existing enterprise data, documentation, and evidence systems.
Custom governance
Extend the framework with organization-specific rules, controls, evaluation requirements, mappings, and workflows.
Explore the framework.
The AIGO documentation provides the framework principles, terminology, governance domains, lifecycle model, roles, risk-management approach, mappings, schemas, validation structures, orchestration model, implementation guidance, and practical examples.
Read the documentationAIGO Framework is developed by Bindbrain. It is designed as an independent AI governance and validation framework for organizations building and operating AI systems. The framework provides a structured governance foundation while allowing organizations to continue using the AI technologies, models, applications, platforms, and infrastructure that fit their needs.