Purpose
Appropriate use
Clarify which uses support organizational goals, which require heightened review, and which should be prohibited.
Responsible AI
Make responsible use part of everyday work—not a policy people cannot apply.
RUDI helps organizations turn values and risk requirements into practical decisions about access, data, workflows, human oversight, verification, accountability, and governance.
From principles to practice
Governance should help people make better decisions.
Responsible AI is not a separate document produced after the strategy. It is a set of usable choices and controls embedded throughout readiness, enablement, workflows, technology, and implementation.
Information
Privacy and data
Define what information can be used, where it can go, how it is protected, and what access is appropriate.
Quality
Verification
Establish how outputs are checked, sources are evaluated, errors are caught, and uncertainty is communicated.
People
Human oversight
Make clear where a person must review, decide, approve, intervene, or remain accountable.
Authority
Decision rights
Define who can approve tools and use cases, grant access, accept risk, manage exceptions, and stop a system.
Learning
Monitoring and response
Track incidents, concerns, performance, changing risks, vendor updates, user feedback, and corrective action.
The governance stack
Policy alone is not governance.
Principles
The values and commitments that guide organizational choices about AI.
Policies
The boundaries, requirements, approved uses, prohibited uses, and responsibilities that apply.
Standards
Concrete expectations for data, access, testing, documentation, review, vendors, and system operation.
Practices
Prompts, workflows, checklists, quality controls, training, and everyday decisions that make governance real.
Oversight
Ownership, monitoring, issue response, escalation, audit, evaluation, and continuous improvement.
RUDI's role
Connect governance to the organization people actually work in.
Current-state and risk assessment
Understand existing use, data practices, technology access, policies, decision rights, risk exposure, and readiness gaps.
Governance model and policy development
Develop proportionate principles, policies, roles, review processes, standards, and escalation paths.
Responsible-use enablement
Translate governance into examples, scenarios, decision aids, training, manager guidance, and workflow-level practice.
Implementation controls
Build permissions, human review, testing, evaluation, documentation, monitoring, and fallback into pilots and production workflows.
Build governance people can use and leadership can trust.
RUDI can help assess current practices, develop the governance model, or operationalize responsible use inside a broader AI initiative.