Concept Lineage — DB Authority

    Co-Regulated Execution Systems

    The structural framework defining how AI-assisted organisations maintain Execution Integrity through continuous human verification. The concept lineage of the Human-Machine Co-Regulated Execution framework — patent pending.

    Read the Research Paper →Execution Integrity

    What Co-Regulated Execution means

    Human-Machine Co-Regulated Execution is the patent-pending framework that describes the structural conditions under which AI-assisted organisations can maintain Execution Integrity at scale. It is not a process methodology or a workflow tool — it is a structural description of what must remain true about human involvement in AI-assisted work for the output to be trusted.

    The core claim: as AI handles more execution steps, human verification density must be deliberately maintained — not assumed, not delegated back to AI, and not replaced by logging. When verification density drops below the threshold the framework defines, Execution Debt begins to compound silently.

    Anchor Theorem

    In any system where AI generates outputs that humans are expected to act on, the minimum viable human verification rate is not zero. The rate required to maintain Execution Integrity scales with the consequence-density of the domain, the reversibility of AI-generated outputs, and the organisation's current Human Debt baseline.

    Authority split across the V9 ecosystem

    The Continuity-Governed Execution Infrastructure (CGEI) framework — retitled Execution Integrity Infrastructure — is distributed across three V9 authority surfaces, each holding a distinct layer of authority:

    Concept Lineage
    DB — duenablomstrom.com

    This page. Canonical DefinedTerm. IP provenance, creator attribution, and conceptual definitions.

    Applied Research
    PNT — peoplenottech.com

    ScholarlyArticle. Diagnostic application, whitepaper, and Execution Integrity measurement methodology.

    Operational Deployment
    HA — humanagents.io

    Execution Pods implementation. The real-time deployment layer where Co-Regulated Execution is operationalised in team structures.

    Core concepts

    • •Execution Integrity — the condition that holds when human verification density is sufficient. When it breaks, Execution Debt compounds. See: what-is-execution-integrity
    • •Human Debt™ — the structural execution risk that accumulates when teams cannot operate with trust, psychological safety, and clear decision-making. The precondition that makes Co-Regulated Execution necessary. See: what-is-human-debt
    • •Execution Debt™ — the compound failure state created when Human Debt and Technical Debt interact under low visibility. See: what-is-execution-debt
    • •Execution Pods — adaptive human-AI work units (3–4 humans + AI) that implement Co-Regulated Execution in practice. See: what-are-execution-pods
    • •Human Machine Intelligence (HMI) — the continuous loop: Pods execute → AI monitors → Pods adapt. Prevents execution drift. See: human-machine-intelligence

    Conceptual lineage and attribution

    The Human-Machine Co-Regulated Execution framework is created by Duena Blomstrom and Dave Ballantyne. Human Debt® and Execution Debt® are co-created by Duena Blomstrom and Dave Ballantyne. This page holds the concept lineage authority for duenablomstrom.com.

    Full IP provenance, trademark notices, co-creation records, and canonical definitions are maintained at the provenance hub. The applied research paper is published at peoplenottech.com.

    Patent pending. First publication: Duena Blomstrom, Tech-Led Culture (Kogan Page, 2023); extended with Dave Ballantyne in the CGEI research paper (2026).

    © 2026 PeopleNotTech. Human Debt™, Execution Debt™ & associated frameworks by Duena Blomstrom and Dave Ballantyne. Patent pending. Provenance →