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HybridWF

Canonical vocabulary

Glossary

A standard fragments when the same idea travels under two names. Every term is fixed here in both languages with one numbered definition.

One term, two languages, one numbered definition. Where the English term is used untranslated in Spanish practice, both entries carry the same word — that is a deliberate decision to stop the vocabulary from splitting across the two editions of this standard.

G-01AI Employee
A persistent, role-bound software worker that autonomously executes recurring business responsibilities within explicit limits, with traceable identity, measurable performance, escalation paths and human accountability.
G-02ART — Work Resource AdministrationSpanish: ART — Administración de Recursos de Trabajo
The discipline that designs, assigns, governs and optimises work regardless of whether the resource executing it is human, artificial or hybrid.
G-03AI Role Contract
The operational contract of an artificial post: mission, responsibilities, results, KPIs, authority, exclusions, tools, access, service level, escalation, suspension criteria and accountable manager. Versioned. The equivalent of a job description plus an explicit operating agreement — a prompt gives instructions, a role contract gives responsibility.
G-04Accountable Manager
The single named person who answers for an AI Employee’s configuration, authority, performance and exceptions. Exactly one, even when the resource receives work from several areas.
G-05Shadow mode
A stage in which the artificial resource executes the work but its actions do not affect the operation. Results are compared against a human baseline. The operational equivalent of probation.
G-06Context Provisioning
The onboarding equivalent for an artificial resource. Divided into must know, may consult and must not access — the third category is what keeps “more context” from becoming “more risk”.
G-07Authority MatrixSpanish: Matriz de autoridad
The record of what a resource may read, write, decide, spend, communicate or execute, and which of those require approval. Autonomy without an authority matrix is an empty word.
G-08Escalation treeSpanish: Árbol de escalamiento
The explicit mapping of exception type, risk and urgency to a destination — a person, a team or a fallback rule. Every exception needs a destination.
G-09Governed memorySpanish: Memoria gobernada
Memory with provenance, scope, retention and deletion rules, plus a named owner and an update mechanism. An undated policy produces answers that are consistent and wrong.
G-10Human Intervention Rate
The proportion of cases or decisions requiring human correction. Reveals how much of the declared autonomy is real and how much is automation quietly propped up by people.
G-11Cost per Successful Outcome
Total cost of producing a correct, accepted result — including platform, integration, supervision, rework, incidents and residual human operation. Comparing a subscription against a salary is the wrong benchmark.
G-12Post-Transition Performance Delta
The change in performance after switching resource or configuration. It does not ask whether the agent is fast; it asks whether the post got better. Without a baseline, an organisation can celebrate an improvement that never happened.
G-13HWFS — Hybrid Workforce Fit Score
A structured instrument for deciding whether a responsibility should be Human, Artificial or Hybrid. It returns an argument, not a number: an allocation, a risk class, a starting autonomy rung and the conditions that would change the answer.
G-14Hybrid Workforce ManagerSpanish: Gerente de Fuerza Laboral Híbrida
The role accountable for ensuring each responsibility is executed by the configuration that produces the best result. Neutral by design: never measured by humans replaced or posts converted.
G-15Capacity Elevation Rate
The share of released human capacity that moved to higher-value work. Keeps “productivity” from hiding whether hours became analysis, service, innovation, eliminated waste — or a headcount reduction that should be named.
G-16Kill switch
The technical and procedural ability to suspend an AI Employee immediately. A kill switch without a named owner is only a feature; the role contract must say who may use it and under what condition.
G-17Least privilege / least authority
Least privilege limits what a resource can access; least authority limits what it can decide or commit. They are separate controls and both are required.
G-18Role ownership vs task ownershipSpanish: Role ownership vs. task ownership
“Send these twenty follow-ups” is a task. “Manage commercial follow-up for this portfolio” is a role: prioritising, respecting constraints, keeping context, recognising exceptions and escalating. The move from one to the other is what justifies the category.
G-19Remediation planSpanish: Plan de remediación
The artificial equivalent of a performance improvement plan: reduce scope, increase approvals, correct configuration or context, and validate again before restoring authority.
G-20Fallback architectureSpanish: Arquitectura de fallback
The succession plan for an artificial resource: an alternative model, agent or vendor, plus a replacement runbook. Reduces lock-in and makes retirement survivable.
G-21Offboarding / deprovisioning
Revoke credentials, disable tools, stop schedules and queues, rotate secrets, transfer outstanding work and context, preserve evidence. As important as onboarding and almost always skipped.
G-22Time-to-autonomy
Days from instantiation to reliable performance at the expected risk level. The artificial counterpart of time-to-productivity for a new hire.
G-23Total Cost of AI Employment
Models plus infrastructure plus integrations plus supervision plus error cost plus governance. The artificial analogue of total cost of employment, and the only honest basis for comparison.
G-24Management by exception
The operating mode in which the resource resolves routine work inside its limits and the manager intervenes on deviations and exceptions. Rung 4 of the autonomy ladder.
G-25Hybrid postSpanish: Puesto híbrido
A post whose responsibilities are split explicitly between a human and an artificial resource, with defined handoffs, context transfer and a single owner of the overall result. Badly designed, it produces two occupants each waiting for the other to answer.