top of page
The ORBIT Operating Model™
The governing method through which Stenson Global delivers Independent Decision Assurance - providing a structured approach for examining the evidence supporting a material AI-related decision.
Material AI decisions can draw on evidence and conclusions from multiple parts of an organization. ORBIT provides a structured way to examine those relevant findings together, while testing the assumptions, dependencies and accountabilities that matter to the decision.
ORBIT
Why ORBIT Exists
A material AI decision may depend on evidence produced by several different functions, each examining a different part of the decision. What matters is whether the resulting evidence provides a sufficiently clear basis for the decision as a whole.
Model Risk Management, Risk, Technology, Compliance, Transformation and the business may each provide relevant evidence or conclusions. Those contributions can be valid within their respective areas while still leaving questions about how they collectively support the decision.
ORBIT therefore examines the decision in context: the underlying evidence, relevant functional conclusions, assumptions, dependencies and accountabilities that support it.
The ORBIT Operating Model™ was developed to provide a governed method for doing this consistently - examining the underlying evidence and independently assessing whether it collectively supports a material AI-related decision.
The Five Domains of the ORBIT Operating Model™
The ORBIT Operating Model™ provides a structured method for examining the evidence, assumptions, accountabilities and operational conditions surrounding a material AI-related decision.
Tap and hold the diagram to zoom and explore the five domains
The five domains provide the structure through which ORBIT examines the evidence relevant to the decision. They help assess how different conditions, findings and dependencies relate to one another rather than treating each in isolation.
The Five ORBIT Decision Domains
The five domains provide the structure for examining the organizational and operational conditions relevant to a material AI-related decision.
Operational Readiness
Examine the organizational conditions relevant to the decision, including governance, leadership, organizational capability and operating-model dependencies.
Assess the conditions that may affect the organization's ability to support the decision.
Risk & Governance
Examine the governance, accountability and oversight relevant to the decision.
Assess whether the relevant governance arrangements and accountabilities provide sufficient support for the decision being considered.
Business Processes
Examine the workflows, roles and controls relevant to the decision.
Assess how existing operational arrangements support or constrain the decision being considered.
Integration & Adoption
Examine the people, leadership and adoption conditions relevant to the decision.
Assess whether the capabilities and human factors relevant to the decision are sufficiently understood and supported.
Transformation & Value Realization
Examine the intended operational and business implications of the decision.
Assess whether the expected outcomes and value assumptions relevant to the decision are sufficiently understood.
How ORBIT Supports Independent Decision Assurance
The ORBIT Operating Model™ is the governing method used within each Independent Decision Assurance assessment.
It brings together relevant evidence across five domains to help executives examine the conditions, assumptions and dependencies surrounding a material AI-related decision and establish whether the evidence supports proceeding.
bottom of page