THE ACCENTUS AI
OPERATING MODEL™.
A COMPREHENSIVE AI GOVERNANCE FRAMEWORK WITH 47 CONTROLS ACROSS 9 DOMAINS, 7-PHASE LIFECYCLE MANAGEMENT, 4-TIER RISK CLASSIFICATION, AND REGULATORY MAPPING TO 8 GLOBAL STANDARDS.
AAOM V3.0 AT A GLANCE.
A UNIFIED CONTROL ARCHITECTURE SPANNING GOVERNANCE, DATA, MODEL DEVELOPMENT, SECURITY, AND OPERATIONS.
9 DOMAINS. 47 CONTROLS.
EACH CONTROL IS MAPPED TO LIFECYCLE PHASES, RISK TIERS, AND IMPLEMENTATION PRIORITY.
GVGOVERNANCE
5 CONTROLS+
GOVERNANCE
DMDATA MANAGEMENT
6 CONTROLS+
DATA MANAGEMENT
MDMODEL DEVELOPMENT
6 CONTROLS+
MODEL DEVELOPMENT
SASECURITY & ASSURANCE
6 CONTROLS+
SECURITY & ASSURANCE
DIDEPLOYMENT & INTEGRATION
5 CONTROLS+
DEPLOYMENT & INTEGRATION
MMMONITORING & MAINTENANCE
5 CONTROLS+
MONITORING & MAINTENANCE
CDCOMPLIANCE & DOCUMENTATION
5 CONTROLS+
COMPLIANCE & DOCUMENTATION
RMRISK MANAGEMENT
4 CONTROLS+
RISK MANAGEMENT
RTTHIRD-PARTY & VENDOR RISK
5 CONTROLS+
THIRD-PARTY & VENDOR RISK
7-PHASE AI LIFECYCLE.
END-TO-END GOVERNANCE GATES ENSURING COMPLIANCE AT EVERY STAGE.
IDEATION
PROBLEM DEFINITION, USE CASE SCOPING, AND INITIAL RISK TIERING.
DATA
DATA SOURCING, GOVERNANCE, QUALITY ASSURANCE, AND BIAS ASSESSMENT.
DEVELOPMENT
MODEL DESIGN, TRAINING, EXPERIMENTATION, AND DOCUMENTATION.
VALIDATION
TESTING, BENCHMARKING, FAIRNESS, EXPLAINABILITY, AND RED-TEAMING.
DEPLOYMENT
APPROVAL GATES, SYSTEM INTEGRATION, HITL, AND OPERATIONAL READINESS.
MONITOR
PERFORMANCE TRACKING, DRIFT DETECTION, INCIDENT MANAGEMENT, AND RETRAINING.
END
DECOMMISSIONING, RETIREMENT, AND KNOWLEDGE TRANSFER.
4-TIER RISK CLASSIFICATION.
PROPORTIONAL CONTROL APPLICATION BASED ON SYSTEM RISK LEVEL.
UNACCEPTABLE
PROHIBITED USE CASES. NO DEPLOYMENT PERMITTED.
HIGH RISK
MAXIMUM CONTROLS. ALL 47 CONTROLS APPLICABLE. CONTINUOUS MONITORING REQUIRED.
LIMITED RISK
ENHANCED CONTROLS. TRANSPARENCY AND DOCUMENTATION REQUIREMENTS APPLY.
MINIMAL RISK
BASELINE CONTROLS. CORE GOVERNANCE AND MONITORING REQUIRED.
6-LEVEL MATURITY SCALE.
NON-EXISTENT
NO AWARENESS OF AI GOVERNANCE REQUIREMENTS.
INITIAL
AD HOC PROCESSES. REACTIVE AND UNSTRUCTURED.
DEVELOPING
DOCUMENTED PROCESSES. BEGINNING TO FORMALIZE.
DEFINED
STANDARDIZED ACROSS THE ORGANIZATION.
MANAGED
QUANTITATIVE MEASUREMENT AND OPTIMIZATION.
OPTIMIZING
CONTINUOUS IMPROVEMENT. INDUSTRY-LEADING.
7 DEFINED ROLES.
AI GOVERNANCE BOARD
STRATEGIC OVERSIGHT AND POLICY DIRECTION
CHIEF AI OFFICER (CAIO)
ACCOUNTABILITY OWNER FOR AI PROGRAMS
INTERNAL AUDIT
INDEPENDENT ASSURANCE AND COMPLIANCE VERIFICATION
AI ETHICS OFFICER
ETHICAL REVIEW AND BIAS MITIGATION
AI RISK MANAGER
RISK IDENTIFICATION, ASSESSMENT, AND MONITORING
AI SECURITY OFFICER
SECURITY ARCHITECTURE AND THREAT RESPONSE
COMPLIANCE OFFICER
REGULATORY ALIGNMENT AND AUDIT READINESS
COVERAGE OF 8 GLOBAL STANDARDS.
AAOM CONTROLS ARE MAPPED TO MAJOR REGULATORY FRAMEWORKS, ENSURING COMPLIANCE ALIGNMENT ACROSS JURISDICTIONS AND MANDATES.
SPECIALIZED AGENTIC CONTROLS.
AAOM V3.0 INCLUDES PURPOSE-BUILT CONTROLS FOR AUTONOMOUS AGENT SYSTEMS \u2014 ADDRESSING TOOL USE, ORCHESTRATION, HUMAN OVERSIGHT, AND MULTI-AGENT GOVERNANCE.
AGENT AUTONOMY LEVELS
DEFINED AUTONOMY TIERS WITH ESCALATION PROTOCOLS AND HUMAN OVERRIDE CAPABILITIES.
TOOL USE GOVERNANCE
CONTROLS FOR AGENT TOOL ACCESS, PERMISSION BOUNDARIES, AND ACTION LOGGING.
ORCHESTRATION OVERSIGHT
MULTI-AGENT COORDINATION RULES, CONFLICT RESOLUTION, AND CHAIN-OF-CUSTODY.
HUMAN-IN-THE-LOOP
MANDATORY CHECKPOINTS FOR CRITICAL DECISIONS WITH REAL-TIME INTERVENTION.
GUARDRAIL ENFORCEMENT
INPUT/OUTPUT VALIDATION, CONTENT FILTERING, AND BEHAVIORAL BOUNDARIES.
AUDIT & TRACEABILITY
FULL DECISION CHAIN LOGGING FOR EVERY AGENT ACTION AND REASONING STEP.
WHO AAOM IS DESIGNED FOR.
FEDERAL AGENCIES
MOVING FROM AI PILOTS TO OPERATIONAL DEPLOYMENT AND NEEDING GOVERNANCE STRUCTURE.
CAIOS AND CIOS
ESTABLISHING ENTERPRISE AI GOVERNANCE PROGRAMS ALIGNED TO EXECUTIVE ORDERS AND FEDERAL MANDATES.
CISOS
REQUIRING SECURITY INTEGRATION INTO AI SYSTEMS FROM ARCHITECTURE THROUGH OPERATIONS.
PROGRAM MANAGERS
RESPONSIBLE FOR AI MODERNIZATION INITIATIVES THAT MUST MEET COMPLIANCE AND AUDIT REQUIREMENTS.
PRIME CONTRACTORS
SEEKING A GOVERNANCE FRAMEWORK TO STRENGTHEN AI PROPOSALS AND DIFFERENTIATE THEIR SOLUTIONS.
REGULATED ENTERPRISES
DEPLOYING AI UNDER STRICT REGULATORY, COMPLIANCE, AND ACCOUNTABILITY REQUIREMENTS.
DEPLOY AI WITH GOVERNANCE BUILT IN.
SCHEDULE A CONSULTATION TO DISCUSS HOW AAOM V3.0 CAN STRUCTURE YOUR AI DEPLOYMENT FOR COMPLIANCE, SECURITY, AND OPERATIONAL SUCCESS.
EXPLORE AAOM FOR YOUR ORGANIZATION