Governance structure
Define councils, working groups, escalation paths and accountable executive ownership.
AI GOVERNANCE PROGRAM
Build governance people can actually use.
Create the decision rights, policies, inventory processes, controls and oversight required to adopt AI without losing accountability.
Clear ownershipDefine who decides, approves and accepts risk.
Usable policyTranslate principles into operational rules.
Consistent decisionsStandardize inventory, review and exceptions.
Visible oversightCreate evidence for executives and boards.
THE GOVERNANCE GAP
AI adoption is moving faster than traditional approval and risk processes.
Principles are not an operating model. RedSkope helps organizations decide who owns AI risk, what must be inventoried, how use cases are approved, which controls apply and how exceptions remain accountable.
Policies and standards
Create practical AI policy, acceptable-use rules and supporting control standards.
Risk taxonomy
Establish shared language for AI impacts, likelihood, materiality and risk acceptance.
AI inventory
Define what must be recorded, who maintains it and how changes are governed.
Approval process
Apply proportionate review based on use-case risk instead of one process for everything.
Reporting and oversight
Create meaningful measures, executive reporting and evidence of governance operation.
DESIGNED FOR YOUR OPERATING MODEL
Framework-aligned without becoming framework-driven.
Where appropriate, the program draws from NIST AI RMF, ISO/IEC 42001, OWASP guidance, privacy requirements and existing enterprise cybersecurity practices. Alignment supports the program; it is not presented as certification.
- NIST AI Risk Management FrameworkGovern, map, measure and manage AI risk.
- ISO/IEC 42001AI management-system structure and continual improvement.
- OWASP guidanceApplication and model-security risk considerations.
- Privacy requirementsPurpose, data use, transparency and individual rights.
- Enterprise security frameworksIntegrate AI into existing security and risk processes.
- Emerging AI legislationPrepare for obligations without overclaiming certainty.
PROGRAM METHOD
Move from policy intent to operating behavior.
The program is built around the organization’s decision paths, risk model and pace of AI adoption.
Understand the current state
Review strategy, adoption, stakeholders, policies, inventories and existing controls.
Define the model
Establish roles, decision rights, taxonomy, review paths and minimum controls.
Create the artifacts
Develop policies, standards, intake tools, registers, workflows and reporting.
Enable the teams
Launch governance, test decisions and establish a measured improvement cycle.
PROGRAM DELIVERABLES
A governance system—not a binder.
Deliverables are tailored to maturity and scope, with emphasis on materials that teams can own and operate.
- 01Governance charter and RACIMandate, membership, authority, decision rights, responsibilities and escalation.
- 02AI policy and acceptable-use standardClear enterprise requirements with practical employee guidance.
- 03Inventory and approval workflowIntake, tiering, review, exception and lifecycle processes.
- 04Control framework and reporting modelMinimum controls, evidence expectations, measures and executive reporting.
OPERATIONALIZE THE POLICY
Connect governance to observed AI use.
Scout supports inventory and discovery. Guardian can translate approved policy into measurable controls.
GOVERN AI WITH CONFIDENCE