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    Framework

    AI Governance Budget Allocation: A Sizing Framework for Enterprise AI Spend

    No single percentage of AI spend suits every enterprise. A defensible governance share is derived bottom-up: inventory AI systems and agents, assign risk tiers, map the controls each tier requires, estimate cost across policy and oversight, technical enforcement, monitoring and audit, and personnel, then express the total as a range against AI spend with stated assumptions and review triggers.

    Why a single governance percentage does not hold

    A universal percentage of AI spend cannot reflect how one enterprise differs from another. Governance cost depends on which AI systems and agents an organization runs, how much risk each one carries, and which controls each risk tier requires.

    For that reason the governance share is derived bottom-up from the organization's own AI footprint, rather than assumed in advance.

    The variables that drive governance spend

    The sizing draws on the following variables:

    • Risk tier: the tier assigned to each AI system or agent.
    • Agent autonomy: how independently an agent acts.
    • Data sensitivity: the sensitivity of the data a system handles.
    • Regulatory exposure: the regulatory obligations the organization faces.
    • Runtime control needs: the runtime controls each tier requires.

    A five-step sizing method

    1. Inventory AI systems and agents. Start with a complete list of what is in use.
    2. Assign risk tiers. Place each system and agent in a tier.
    3. Map the controls each tier requires. Note what already exists.
    4. Estimate cost by category. Cover policy and oversight, technical enforcement, monitoring and audit, and personnel.
    5. Express the total as a range. State it against AI spend, with stated assumptions and review triggers.

    From AI footprint to governance range

    1. Inventory and tierList systems and agents, then assign each a risk tier.
    2. Map controlsDefine the controls each tier requires and what already exists.
    3. Cost by categoryEstimate policy, enforcement, monitoring, and personnel cost.
    4. State the rangePublish the share with assumptions and review triggers.

    Governance cost categories and what moves them

    The cost estimate is built across four categories:

    • Policy and oversight
    • Technical enforcement
    • Monitoring and audit
    • Personnel

    The variables above, together with the controls each risk tier requires, determine how much each category costs for a given organization.

    Runtime enforcement is the line item most often missing

    Technical enforcement is one of the four cost categories, and runtime policy enforcement and audit logging belong in the governance cost model alongside it. Agent identity, permissions, and tool-call controls are the areas to account for when sizing that line.

    Sizing check: confirm that the technical enforcement estimate covers runtime policy enforcement and audit logging before the total is finalized.

    Justifying the range to finance and executives

    Express the total as a range against AI spend, and publish it with the assumptions behind it and the review triggers that would prompt a revision. Because the range is built from the inventory, the risk tiers, and the mapped controls, each part of the figure can be traced back to a specific input.

    Size governance against your own AI footprint

    If you are working out where runtime policy enforcement and audit logging fit in your governance cost model, talk with the Trussed AI team about agent identity, permissions, and tool-call controls.

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