Projetista de Modelo Operacional de IA

Visão geral

Benefícios

O que faz

• Pontua cada processo quanto a poder ser entregue

  Frequência, quanto é regrado, evidências disponíveis, e o custo de errar. A maior parte de uma empresa reprova em pelo menos um, e o diagrama nunca verifica.

• Projeta as passagens de bastão, não as caixas

  O que cada agente produz, quem confere, o que acontece quando está errado, e o humano nomeado que responde pelo resultado. O trabalho vive nas setas.

• Nomeia o que precisa continuar humano

  Trabalho que é frequente e regrado e ainda assim não pode ser entregue. A lista mais valiosa do relatório, e a que ninguém publica.

• Sequencia por dependência e retorno

  Não por departamento e não por entusiasmo. Parte disso não pode começar até existirem dados que ainda não existem, e ele diz isso.

• Declara o que precisa ser verdade antes

  A maioria desses planos falha em um pré-requisito — um registro que ninguém mantém, um sistema sem exportação, um dono que ninguém nomeou.

• Não implanta nada

  Ele não muda organização nenhuma, não compra nada e não configura nada. Toda saída é um plano para pessoas decidirem.

O que isso muda

Como roda

Este agente é executado no servidor, pelo ambiente de execução da PROMIVO. Cada execução é registada passo a passo e cada chamada de ferramenta tem as permissões verificadas antes de ser executada.

1. 1EntradaValidada contra o esquema de entrada do agente
2. 2Modeloclaude-opus-5 com fallback automático
3. 3Ferramentassearch_knowledge, extract_structured_data
4. 4PermissõesExecuta automaticamente as ações de nível READ; tudo acima disso espera aprovação
5. 5SaídaResultado estruturado, conforme o esquema de saída
6. 6RegistroTokens, duração e cada passo ficam registrados

Demonstração

Dados de demonstraçãoIllustrative 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

Preço

Perguntas frequentes

Avaliações

As avaliações abrem depois que os clientes tiverem executado este agente.