Documents: The Missing Generation Tax
The Succession Governance Policy (SGP-001)
Appendix A of The Missing Generation Tax.
Reference policy document for organizational adoption
Document: Succession Governance Policy
Identifier: SGP-001
Version: 1.0
Effective Date: October 2026
Owner: Continuous Engineering Press
License: Creative Commons Attribution 4.0 (CC BY 4.0), https://creativecommons.org/licenses/by/4.0/. You may copy, adapt, and redistribute this policy, including commercially, if you credit Shree Mandadi and Continuous Engineering Press, link to the license, and indicate if you changed it.
1. Purpose and scope
1.1 Purpose. This policy establishes governance for how the organization maintains succession pipeline capability in the presence of AI-driven changes to knowledge-work roles. It addresses the specific organizational capability risk that emerges when AI leverage reduces entry-level hiring without corresponding investment in the mechanisms that produce future senior operators.
1.2 Scope. This policy applies to all knowledge-intensive functions within the organization where senior operator capability is required and where AI tooling has materially changed the nature of entry-level work. The policy does not apply to functions where AI tooling has not materially affected the work (though similar principles may be relevant).
1.3 Interaction with other policies. This policy is intended to be additive to existing human resources, hiring, and performance management policies. Where this policy conflicts with existing policies, the organization's legal and HR functions shall reconcile the conflict through the normal governance process.
2. Definitions
2.1 AI Surplus. The measurable productivity and revenue gain attributable to AI adoption, calculated as the sum of (a) cost displacement, the labor cost the organization would have carried on its pre-AI trajectory minus the labor cost it carries now, and (b) velocity premium, measured as incremental revenue attributable to AI-enabled speed improvements, net of AI infrastructure and tooling costs.
2.2 Reinvestment Rate. The percentage of AI Surplus the organization commits to dedicating to the Succession Reinvestment Line in a given fiscal year, published annually.
2.3 Succession Reinvestment Line. A defined P&L line item representing the organization's succession investment in MGT Hires. Calculated as AI Surplus multiplied by Reinvestment Rate.
2.4 MGT Hire. A junior employee whose retention is justified by the succession mathematics rather than by short-term productivity mathematics. Specifically: an employee whose output AI could replicate in the current period but who is being developed toward senior capability over a defined Succession Window.
2.5 Proximity Dose. The number of live hours per month that an MGT Hire spends in the presence of a senior operator making decisions under genuine stakes, measured as actual delivered hours rather than scheduled hours.
2.6 Minimum Viable Mentorship (MVM). The floor below which Proximity Dose ceases to produce meaningful development outcomes. Set at 10 hours per month per MGT Hire.
2.7 Succession Window. The time horizon over which an MGT Hire is expected to develop from their current level to independent senior operator capacity, typically 5 to 15 years.
2.8 AI Adoption Gating. The requirement that new AI deployments that materially change knowledge-work role composition must include a succession impact analysis as part of the deployment approval process.
3. Commitments
3.1 Annual Reinvestment Rate publication. The organization commits to calculating and publishing its Reinvestment Rate annually. Publication shall occur within the annual reporting cycle and shall be visible to the board and to external stakeholders where relevant.
3.2 Monthly Proximity Dose tracking. The organization commits to tracking actual (not scheduled) Proximity Dose for every MGT Hire, monthly, with aggregation quarterly for board-level reporting.
3.3 Succession Governance Review. The organization commits to conducting a formal Succession Governance Review for each MGT Hire every 18 months, producing a written assessment that includes Proximity Dose delivery, observable judgment growth, progress against Succession Window, and recommended next steps.
3.4 AI Adoption Gating. The organization commits that any new AI deployment materially changing knowledge-work role composition shall include a succession impact analysis as part of the deployment approval process.
3.5 Exception handling. The organization commits that material deviations from policy commitments (such as failing to deliver MVM Proximity Dose for three consecutive months) shall trigger formal exception review rather than silent drift.
4. Roles and responsibilities
4.1 Policy Owner. The Chief Human Resources Officer (CHRO) or equivalent is the policy owner and is accountable for overall policy execution.
4.2 Program Owner. The individual or team responsible for day-to-day program operation. Typically a Director-level HR or Talent function leader reporting to the CHRO.
4.3 Senior Mentors. The senior operators who deliver Proximity Dose to MGT Hires. Each MGT Hire has a designated primary Senior Mentor.
4.4 Board Committee. The Talent Committee (or equivalent) of the board, which reviews policy execution quarterly and approves any material policy changes.
4.5 Internal Audit. Where the organization has an internal audit function, the function shall include SGP-001 compliance in its audit plan at least once every 3 years.
5. Exception handling
5.1 Types of exceptions. Exceptions may be granted for individual Proximity Dose shortfalls (single months below MVM), temporary program scope reductions, Succession Window extensions, or other material deviations from policy.
5.2 Exception authority. Exceptions of less than 30 days duration may be granted by the Program Owner. Exceptions of 30 to 90 days require Policy Owner approval. Exceptions beyond 90 days require Board Committee approval.
5.3 Exception documentation. All exceptions shall be documented in writing, including: nature of the exception, duration, justification, and planned return to compliance.
5.4 Exception review. The Board Committee shall review all exceptions quarterly. Exception patterns (repeated exceptions of the same type) shall trigger a broader policy review.
6. Review and update
6.1 Annual review. This policy shall be reviewed annually by the Policy Owner in consultation with the Program Owner and Board Committee.
6.2 Material changes. Material changes to this policy require Board Committee approval.
6.3 Version control. All versions of this policy shall be retained. The current version shall be readily accessible to all employees.
6.4 Linkage to external standards. This policy is intended to be compatible with ISO/IEC 42001 (AI management systems), ISO/IEC 27001 (information security management systems), and the AICPA SOC 2 Trust Services Criteria. Organizations pursuing certification under these standards should reference this policy in their certification documentation.
End of SGP-001 v1.0. Adopting organizations should customize as appropriate for their specific context, with legal and HR review.
From The Missing Generation Tax. See also the other documents.
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