AI and Decision-Making: Why Unclear Decision Rights Stall Strategy Execution
AI promises faster, better-informed decisions.
Easier to manage data.
Higher quality insights.
More options.
More creative solutions.
many organisations experience the opposite. Decision-making slows, accountability blurs, and execution momentum fades. The issue is rarely the quality of information. It is the absence of clear decision rights.
Why AI complicates decision-making
AI expands what decision-makers can see.
It surfaces patterns.
It generates scenarios.
It highlights risks and opportunities.
This abundance increases cognitive load. Without clarity on who decides and how, organisations hesitate.
Gartner’s 2025 research on AI-enabled organisations identifies unclear decision rights as a primary constraint on scaling AI beyond pilots, particularly where AI influences cross-functional decisions (Gartner, 2025).
Information alone does not drive action.
When everyone is informed, no one decides
AI democratizes access to insight.
This is a strength, but it introduces risk when decision authority is not explicit.
Common symptoms include:
• Decisions escalated unnecessarily
• Parallel analyses producing conflicting recommendations
• Delays caused by over-consultation
Execution stalls when people are unsure whether they are advising, recommending, or deciding.
Decision rights must be designed, not assumed
In many organisations, decision rights evolve informally.
AI exposes the weakness of this approach.
Effective AI-enabled execution requires deliberate clarity around:
• Which decisions are AI-supported
• Which decisions remain human-led
• Where judgement overrides automation
• How conflicts are resolved
McKinsey’s 2025 State of AI research shows that organisations with clearly defined governance and decision rights realise greater value from AI initiatives than those relying on informal approaches (McKinsey, 2025).
Clarity reduces friction.
Governance enables faster decisions, not slower ones
Governance is often blamed for slowing decisions.
In practice, the right level of governance accelerates them.
The right level of governance:
• Establishes decision boundaries;
• Reduces unnecessary escalation;
• Creates confidence to act;
• Enables learning from outcomes; and importantly
• Matches the culture of the organisation.
Without governance, AI insights become advisory rather than actionable.
Decision quality depends on accountability
AI influences decisions, but accountability remains human.
When outcomes are unclear, ownership becomes contested.
Clear decision rights ensure that:
• Responsibility is visible and rests with a human (not AI);
• Trade-offs are explicit; and
• Learning is captured.
This supports both execution and improvement over time.
From insight to execution
AI does not fail because it produces poor insight.
It fails when organisations cannot decide how to act on that insight.
Clear decision rights turn information into execution momentum. They reduce hesitation, increase accountability, and support learning.
Strategy execution depends as much on how decisions are made as on what decisions are made.
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