When failure modes appear together
Five combinations of AI assessment signals and how they change the order of executive action.
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Fundamentals, method, and what we keep learning from working with boards and leadership teams.
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Five combinations of AI assessment signals and how they change the order of executive action.
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Technology attracts investment before the business problem is clear.
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The AI agenda lacks shared executive direction and active sponsorship.
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Unofficial AI use expands beyond the organization’s visibility and guidance.
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Experiments continue without a credible route into everyday operations.
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AI speeds up individual tasks while the overall process stays unchanged.
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AI activity is visible, but its business value is unclear.
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Slow or unclear approval processes delay useful work and encourage workarounds.
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Middle managers lack the incentives, capacity, or confidence to turn AI ambition into daily work.
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Poor data quality and disconnected systems undermine dependable AI use.
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Teams lack the skills, time, or support to sustain new working habits.
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A guide to the ten AI strategy failure modes, with detailed explanations and practical actions for each.
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A plain-language map of the six rungs: chatbot, copilot, agent, agentic workflow, multi-agent team, and agent-managed team.
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Anything with a measurable outcome can be put in a loop. Why that quietly reframes how executives should think about their own work.
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Set your AI ambition to your organisation's actual readiness. Assess the board, the company, and each discipline before you set the target.
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