AI development work often draws on costs recorded across cloud bills, model APIs, licences, employees, and external vendors. Finance needs those records connected to the responsible work before it can assess their accounting treatment.
What Yarken helps you prepare
AI Capitalization in the AI Economics model focuses on organizing the financial evidence needed for review. It helps teams work toward a traceable cost record linked to a named project, product, feature, or initiative.
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Cost coverage: identify compute, tokens, software, labor, data work, vendor, and contract costs.
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Ownership: connect costs to the responsible team, cost center, entity, and initiative.
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Development context: distinguish exploration, build, testing, deployment, and operating activity where evidence exists.
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Allocation: document how shared costs are assigned and reconciled.
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Evidence: retain source records, approvals, and the rationale for review.
How to prepare for Finance review
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Identify the AI initiative and its reporting period.
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Collect the relevant financial, usage, time, and contractual records.
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Link direct and shared costs to that initiative using documented rules.
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Confirm ownership, work stage, and supporting evidence.
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Review the resulting cost record with your Finance and accounting teams.
Important: Organizing AI costs does not determine eligibility for capitalization. Your accounting team must assess recognition and treatment under your organization's policies and applicable accounting standards.
For further background, see Yarken AI Capitalization. For planning and investment comparison, see Investment Planning and Business Cases.
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