Ownership & Executive Governance
Ownership & Executive Governance connects material AI decisions to named authority, evidence and timing. It distinguishes DACI decision rights, the AI role in a decision and human-control modes. Autonomy Appetite defines the maximum authority that may be delegated within the enterprise risk envelope.
Leadership ownership connects AI ambition to accountable decisions. Clarify who sponsors change, authorizes investment and resolves tensions across the enterprise.
Explore the holistic AIDIVE frameworkWhy this matters
Sponsorship without outcome ownership leaves trade-offs unresolved. Explicit authority and workable escalation help teams act promptly while retaining accountable human judgement.
Questions to bring to the work
- Who can approve, change, pause or stop this decision, and with what evidence?
- Can the designated human intervene effectively under real time and workload conditions?
Explore this chapter
A.2.1Decision Rights, Sponsorship, and Responsible ScaleAssign material AI decisions to named authorities and scale accountable sponsorship alongside the capability and consequences being created.
A.2.2How decisions are made with AIDesign DACI decision rights, AI participation and HITL/HOTL/HOOTL human control separately, then test whether the configuration remains coherent.
A.2.3Autonomy Appetite: From Strategic Posture to Decision ModeDefine the maximum AI decision authority permitted within enterprise risk appetite, given impact, reversibility, uncertainty and observability.
A.2.4From “supporting AI” to owning AI outcomesMake leaders accountable for value, risk, learning, prioritisation and organisational commitments, including the willingness to pause or stop work.
A.2.5Defining decision rights in an AI-enabled organizationClarify which decisions people retain, where AI contributes and when delegated action requires review, escalation or renewed approval.
A.2.6Governing trade-offs, not just risksUse governance to resolve explicit trade-offs such as speed, reliability, local relevance and shared enterprise constraints.
A.2.7Structuring executive sponsorship for scaleReplace informal advocacy with executive stewardship whose responsibilities and decision rights remain clear as adoption expands.
A.2.8Mapping the Decision Architecture Across the AI LifecycleMap critical decisions from opportunity selection to retirement, including evidence requirements, owners, escalation and the authority to change autonomy.
A.2.9Enabling speed through clarity, not controlReduce ambiguity about ownership, approvals and escalation so teams can make legitimate decisions without unnecessary delay.
A.2.10Making governance operational, not ceremonialMatch review cadence and evidence to decision consequence, and verify that governance changes operating choices rather than merely convening forums.
What useful evidence looks like
- A lifecycle decision map, DACI assignments and executive outcome-ownership commitments.
- Autonomy and decision-mode records supported by escalation, override and takeover test results.
Move from understanding to practice
AR-A04AR-A04 · AI Decision Architecture & DACI
AR-A05AR-A05 · Executive Outcome Ownership Contract
AR-A06AR-A06 · Delegated Governance & Decision Mode Design
Framework source
Editorial adaptation from the supplied AIDIVE Version 1 master documents.
- AIDIVE Alignment Dimension Version-1.docx · A.2 Ownership & Executive Governance; AIDIVE Alignment - Practices & Playbook Version-1.docx · AR-A04, AR-A05, AR-A06
Alignment
Dimension overview ↗01Strategy & Vision02Ownership & Executive Governance03AI Roadmap & Prioritisation04Alignment with Business Units05Strategy–Operations Connection06Alignment Communication & Change ManagementFind a practiceLEARN. CONTRIBUTE. APPLY.Put AI transformation
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