Diseñador de Modelo Operativo con IA

Resumen

Beneficios

Qué hace

• Puntúa si un proceso puede entregarse

  Frecuencia, carácter reglado, evidencia disponible y coste de equivocarse. Casi toda empresa suspende al menos uno, y el diagrama nunca lo comprueba.

• Diseña los traspasos, no las cajas

  Qué produce cada agente, quién lo revisa, qué pasa cuando está mal, y la persona con nombre que responde del resultado. El trabajo vive en las flechas.

• Nombra lo que debe seguir siendo humano

  Trabajo frecuente y reglado que aun así no debe entregarse. La lista más valiosa del informe y la que nadie publica.

• Ordena por dependencia y retorno

  No por departamento ni por entusiasmo. Parte no puede empezar hasta que existan datos que todavía no existen, y lo dice.

• Dice qué tiene que ser cierto primero

  La mayoría de estos planes fracasa en un requisito previo: un registro que nadie lleva, un sistema sin exportación, un responsable que nadie nombró.

• No despliega nada

  No cambia ninguna organización, no compra nada y no configura nada. Toda salida es un plan sobre el que deciden personas.

Qué cambia

Cómo funciona

Este agente se ejecuta en el servidor a través del entorno de ejecución de PROMIVO. Cada ejecución se registra paso a paso y cada llamada a una herramienta se comprueba contra los permisos antes de ejecutarse.

1. 1EntradaValidada contra el esquema de entrada del agente
2. 2Modeloclaude-opus-5 con reserva automática
3. 3Herramientassearch_knowledge, extract_structured_data
4. 4PermisosEjecuta acciones READ automáticamente; cualquier cosa por encima espera aprobación
5. 5SalidaResultado estructurado conforme al esquema de salida
6. 6RegistroTokens, duración y cada paso quedan registrados

Demostración

Datos de demostraciónIllustrative sample output, abridged.

{
  "company": "A dealership group",
  "currency": "USD",
  "industry": "Automotive retail and service",
  "headcount": 240,
  "departments": []
}

{
  "escalate": true,
  "sequence": [
    {
      "phase": "First — read-only, evidence already exists",
      "unblocks": "Nothing depends on these, which is why they go first: they return value while the harder prerequisites are being cleared.",
      "processes": [
        "Warranty claim documentation check",
        "Duplicate payment review"
      ],
      "prerequisitesToClearFirst": [
        "Load the manufacturer's warranty standard into a knowledge base."
      ]
    },
    {
      "phase": "Second — needs data that does not exist yet",
      "unblocks": "Capacity planning across all four sites.",
      "processes": [
        "Technician utilisation analysis"
      ],
      "prerequisitesToClearFirst": [
        "Job times are recorded on paper at two sites. Until that changes, no analysis of this is possible and no agent fixes it."
      ]
    }
  ],
  "disclaimer": "A design, not a deployment. Nothing has been configured, purchased or enabled; no headcount reduction is estimated and no recommendation is framed as replacing a role; savings are estimates from the figures you supplied and are stated net of the effort to supervise them; and no vendor or product is named.",
  "assumptions": [
    "Hours removed are calculated from the run frequency and durations you supplied, and are estimates.",
    "Supervision effort assumes one reviewer per recommendation."
  ],
  "recommended": [
    {
      "process": "Warranty claim documentation check before submission",
      "readOnly": true,
      "department": "Service",
      "buildEffort": "Days",
      "whoChecksIt": "The warranty administrator, who already reviews the claim run.",
      "prerequisite": "The manufacturer's documentation standard has to be in a knowledge base. It currently exists as a PDF on one person's laptop.",
      "agentProduces": "A list of claims that would fail, with the specific element missing from each.",
      "agentReceives": "Repair orders with narrative, operation codes, parts and technician certifications.",
      "whenItIsWrong": "A claim is submitted that would have failed anyway, or a good claim is queried. Both cost minutes, not money.",
      "accountableRole": "Service Manager",
      "capabilityNeeded": "Read each repair order against the manufacturer's documentation standard and report what would be reversed at audit.",
      "netOfSupervision": 44,
      "runEffortPerMonth": "About 2 hours of review",
      "hoursRemovedPerMonth": 46
    }
  ],
  "countHonesty": "Six recommendations from 41 processes reviewed. A diagram of this company would have shown one agent per role and produced around forty. Thirty-five of those touch work that runs under twice a month, has no exportable evidence, or must stay human — and each would still have been something to configure, pay for and watch.",
  "mustStayHuman": [
    {
      "reason": "Frequent enough and rule-bound enough to look automatable. It decides an employment outcome, and a wrong call ends someone's job on a machine's say-so.",
      "process": "Deciding a technician's disciplinary outcome after a workshop incident",
      "department": "People",
      "couldAnAgentHelpAtAll": "It can assemble the evidence pack — records, timelines, policy clauses — so the person deciding has everything. It must not weigh it."
    },
    {
      "reason": "A licensed technician's signature is the product. Nothing here can carry it.",
      "process": "Signing off a vehicle as roadworthy after repair",
      "department": "Service",
      "couldAnAgentHelpAtAll": "It can check the job record is complete before it reaches them, which is a paperwork step and not a judgement."
    }
  ],
  "escalationReason": "Two processes the brief asked to automate decide employment and licensed sign-off outcomes, and one recommendation depends on job times that are currently recorded on paper.",
  "notAnAgentProblem": [
    "Chasing parts orders takes 30 hours a month because the supplier portal has no export. Fixing the export removes the work entirely; an agent would automate a workaround and make it permanent.",
    "Two teams re-key the same customer record. That is one integration, not an agent."
  ]
}

Requisitos

Casos de uso

Precios

Preguntas frecuentes

Reseñas

Las reseñas se abren cuando los clientes hayan ejecutado este agente.