Govern AI systems with structure, evidence, and validation.
AIGO Framework provides a structured governance layer for evaluating, validating, reviewing, and monitoring AI systems throughout their lifecycle.
AIGO does not replace the AI system itself. It provides the governance structure around it—connecting rules, evaluations, actions, reviews, outcomes, and validation.
A governance layer for AI systems.
Organizations increasingly deploy AI across recruitment, customer service, finance, operations, software development, research, and decision-support systems. AIGO provides a structured way to govern those systems instead of treating governance as a one-time checklist.
System-level governance
Identify and govern individual AI systems with defined ownership, purpose, entity information, evaluations, decisions, and evidence.
Lifecycle governance
Governance can continue from registration and classification through evaluation, review, deployment, monitoring, and reassessment.
Structured evaluation
Governance rules produce structured evaluation results, including outcomes, review requirements, actions, conflicts, and errors.
Machine-readable governance
AIGO uses structured schemas, JSON data, validation fixtures, and deterministic orchestration so governance logic can be integrated into software systems.
From AI system registration to continuous governance.
AIGO is designed around a lifecycle rather than a single compliance check. The exact governance process can evolve according to the organization's rules and the AI system's context.
Register
Establish the identity, purpose, owner, entity type, and governance context of an AI system.
Classify
Determine the applicable governance and evaluation requirements based on the system and its intended use.
Evaluate
Evaluate the system against defined governance rules and produce structured rule-level results.
Review
Identify cases requiring human review and maintain the corresponding review state.
Approve
Use evaluation evidence and governance decisions to support organizational approval processes.
Validate
Validate governance schemas, rules, orchestration behavior, and expected evaluation results.
Monitor
Maintain governance over AI systems after deployment and identify changes that may require reassessment.
Reassess
Re-evaluate systems when their models, configurations, purposes, controls, or operating conditions change.
Turn governance rules into structured results.
AIGO evaluates an AI system against requested governance rules and produces machine-readable results that can be consumed by applications, dashboards, workflows, or review processes.
Governance becomes data.
AIGO produces structured outputs that can be stored, inspected, integrated, tested, and consumed by applications, dashboards, workflows, and review processes.
Outcomes
Capture the result of an evaluation and its processing status.
Reviews
Record whether human review is required and track review status.
Actions
Preserve governance actions associated with evaluated rules.
Conflicts
Surface governance conflicts that require attention.
Evidence
Connect governance decisions to structured evaluation data.
Errors
Maintain explicit error information rather than hiding failed processing states.
Governance logic should be testable.
AIGO includes validation and regression mechanisms for verifying schemas, fixtures, orchestration behavior, and expected governance results as the framework evolves.
The current framework includes automated evaluation fixture validation and orchestration regression testing. This makes governance behavior measurable and helps prevent changes to the engine from silently altering expected results.
Connect governance decisions into an executable process.
AIGO orchestration connects evaluation requests, governance rules, rule results, actions, conflicts, review requirements, and final outcomes into a consistent execution model.
AI System
AI applications, agents, models, workflows, assistants, decision-support systems, and other AI-enabled products.
AIGO Governance Layer
Registration, classification, evaluation, rules, controls, reviews, validation, and governance orchestration.
Structured Governance Result
Outcomes, rule results, actions, conflicts, review state, evidence, 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 layer around the system, connecting its identity, evaluation rules, controls, reviews, evidence, and governance decisions.
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01RegisterRecord the AI system, purpose, ownership, and governance context.
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02ClassifyDetermine the governance requirements applicable to the intended use.
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03EvaluateEvaluate relevant rules such as risk management, human oversight, transparency, testing, and controls.
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04ReviewRequire human review where the governance rules determine that review is necessary.
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05RecordPreserve evaluation results, actions, conflicts, review state, and supporting evidence.
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06ReassessTrigger a new governance evaluation when the system, model, purpose, configuration, or controls change.
AIGO can sit around the AI stack you already use.
AIGO is intended to complement AI development and automation technologies rather than replace them. The governance layer can be integrated into applications, workflows, and existing AI systems.
AI applications
Connect governance to custom AI applications, SaaS products, internal tools, and decision-support systems.
Agent systems
Govern systems built with multi-agent frameworks and orchestration technologies.
Automation platforms
Integrate governance checks into automated workflows and enterprise processes.
Data & evidence systems
Store structured governance records alongside existing enterprise data and evidence systems.
Custom governance
Extend the governance model with organization-specific rules, controls, evaluation requirements, and workflows.
Explore the framework.
The AIGO documentation contains the framework concepts, governance model, schemas, validation structures, orchestration architecture, implementation guidance, and integration concepts.
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 the governance structure while allowing companies to continue using the AI technologies, models, applications, and infrastructure that fit their needs.