Artefacto Prova
Plantilla de auditoría de workflow con IA para equipos de marketing
Mapea un workflow de marketing y decide qué debería automatizar, apoyar, proteger o rechazar la IA antes de comprometer al equipo con un piloto.
Ideal paraLíderes de agencia rediseñando la calidad de delivery alrededor de la IA · Responsables de marketing ops o analytics eligiendo el primer workflow de IA · Senior marketers que no quieren que experimentos dispersos con IA se vuelvan riesgo operativo
Campos de la plantilla
- 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
Ejemplo trabajado
Client reporting workflow for a paid media account.
Los ejemplos completados de abajo se mantienen en inglés porque Prova revisa los artefactos enviados en inglés.
Versión débil vs versión sólida
Versión débil
- 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 qué falla
- "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.
Versión sólida
- 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 qué 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.
Lo que Prova revisa y que la IA genérica suele pasar por alto
- 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
Siguiente paso
¿Quieres feedback sobre tu versión? Prova empieza con una evaluación breve para que el estándar de revisión encaje con tu rol, tu objetivo y tu primera audiencia. Después entras en el sprint que corresponde a tu trabajo actual.
Prova por ahora está disponible solo en inglés.
Antes de enviar: elimina nombres de clientes, cifras confidenciales y cualquier cosa que tu equipo no querría guardar en un sistema de entrenamiento o coaching.
Continuar a Prova en inglés