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This accompanies our article on AI strategy.

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With several ideas, an actionable sequence beats a tool list or

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an unsupported return figure.

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A fictional trading company wants support answer drafts, invoice

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processing and searchable HR documents.

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All sound interesting, but sources, permissions and process knowledge

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differ between the applications.

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For each idea, describe the work problem, owner, available examples

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and consequences of errors.

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Identify missing prerequisites and who can resolve them before a

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meaningful trial can begin.

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A maintained manual covers one support question type.

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Its owner can prepare questions and expected passages.

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Employees still review and send drafts; the trial assesses quality and

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correction effort.

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For invoices, common exceptions and authority to resolve differences

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are still unknown.

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Map normal and exceptional cases first, then check which steps the

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accounting product supports.

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Valid HR document versions and access rules remain unclear.

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Postpone this application with an explicit task for source owners and

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administrators.

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Then reassess which search approach would be appropriate.

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Before each trial, record who assesses results and which findings

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justify adjustment or stopping.

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Include review effort and exceptions.

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A trial plan is not evidence of an achieved return.

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Support gets an evidence step, finance a discovery task and HR

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a prerequisite to resolve.

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Record owners, decision points and missing evidence, and revisit

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assumptions as circumstances change.

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This is not a universal ranking.

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Our source article on AI strategy connects goals, dependencies and

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evidence steps to an actionable roadmap.