Strategy & Roadmap
AI readiness: choosing the right next step for your organization
Assess readiness against a real organizational need, then prioritize data, people, workflows, and governance before investing.
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Perspectives for AI decisions
Decision-oriented perspectives on AI priorities, adoption, value, and governance. Each article connects an argument, an illustrative example, and primary references.
Strategy & Roadmap
An AI roadmap: connecting priorities, investment, and outcomes
Build an AI portfolio with dependencies, benefit owners, and review points so investment follows organizational readiness.
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AI governance: clear roles, decisions, and controls
Translate AI principles into accountability, usage controls, and oversight that can be put into practice.
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ISO/IEC 42001: building disciplined AI management
Understand the role of an AI management system, implementation evidence, and certification considerations for your organization.
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An AI PoC: testing value before expanding investment
Design a test of technical, operational, cost, and user-readiness assumptions to inform the next investment decision.
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AI adoption: from using tools to changing how work gets done
Connect user readiness, leadership roles, capabilities, and support with changes to workflows that can be evaluated.
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Measuring AI value: connecting usage with performance
Establish baselines, outcome indicators, full costs, and benefit ownership to evaluate AI’s contribution responsibly.
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