Artefato Prova
Template de auditoria de workflow com IA para equipes de marketing
Mapeie um workflow de marketing e decida o que a IA deve automatizar, apoiar, proteger ou recusar antes de a equipe se comprometer com um piloto.
Melhor paraLíderes de agência redesenhando qualidade de delivery com IA · Leads de marketing ops ou analytics escolhendo o primeiro workflow de IA · Senior marketers evitando que experimentos soltos com IA virem risco operacional
Campos do template
- Workflow stage
- What AI handles today
- What AI should handle in six months
- What stays human and why
- Ethical or operational risk: low, medium, high
- Action: automate, augment, protect, decline
- ICE score for pilot candidates
Exemplo preenchido
Client reporting workflow for a paid media account.
Os exemplos preenchidos abaixo ficam em inglês porque o Prova revisa artifacts enviados em inglês.
Versão fraca vs versão forte
Versão fraca
- Workflow stage
- Reporting
- AI handles today
- AI writes reports
- Stays human
- Strategy
- Risk
- Medium
- Action
- Automate
| Workflow stage | Reporting |
|---|---|
| AI handles today | AI writes reports |
| Stays human | Strategy |
| Risk | Medium |
| Action | Automate |
Por que falha
- "Reporting" is too broad to audit.
- "Strategy" does not name the judgment point.
- It does not identify source systems, reconciliation risk, or who approves the client-facing narrative.
- Automating the whole workflow is unsafe because the work includes interpretation and client trust.
Versão forte
- Workflow stage
- Weekly paid media variance explanation for Meta, Google, and LinkedIn
- AI handles today
- Drafts first-pass variance notes from exported spend, revenue, CPA, and campaign-change logs
- AI should handle in six months
- Flags likely causes, drafts three audience-specific summaries, and proposes follow-up checks
- Stays human
- Strategist approves causal claims and client recommendation because platform data can be delayed or misleading
- Risk
- High for client narrative, medium for internal diagnosis
- Action
- Augment, with protected human approval before client send
| Workflow stage | Weekly paid media variance explanation for Meta, Google, and LinkedIn |
|---|---|
| AI handles today | Drafts first-pass variance notes from exported spend, revenue, CPA, and campaign-change logs |
| AI should handle in six months | Flags likely causes, drafts three audience-specific summaries, and proposes follow-up checks |
| Stays human | Strategist approves causal claims and client recommendation because platform data can be delayed or misleading |
| Risk | High for client narrative, medium for internal diagnosis |
| Action | Augment, with protected human approval before client send |
Por que funciona
- The stage is specific.
- Source systems are named.
- The human judgment point is explicit.
- Risk differs by use case.
- The action is narrow enough to pilot.
O que o Prova revisa e que IA genérica costuma perder
- Whether the workflow scope is specific enough to audit
- Whether "stays human" reasons are concrete or just polite language
- Whether high-risk stages are incorrectly classified as automate
- Whether ICE scores are supported by operational reality
- Whether the selected pilot is narrow enough to test
- Whether the next sprint should be measurement, rollout, or foundation repair
Próximo passo
Quer feedback sobre sua versão? O Prova começa com uma avaliação curta para alinhar o padrão de revisão ao seu papel, objetivo e primeira audiência. Depois, você entra no sprint que combina com o trabalho atual.
O Prova está disponível apenas em inglês no momento.
Antes de enviar: remova nomes de clientes, números confidenciais e qualquer coisa que sua equipe não gostaria de armazenar em um sistema de treinamento ou coaching.
Continuar para o Prova em inglês