Artefact Prova
Template d’audit de workflow IA pour équipes marketing
Cartographie un workflow marketing et décide ce que l’IA doit automatiser, augmenter, protéger ou refuser avant que l’équipe s’engage sur un pilote.
Idéal pourDirigeants d’agence qui repensent la qualité de delivery autour de l’IA · Leads marketing ops ou analytics qui choisissent le premier workflow IA · Senior marketers qui veulent éviter que des tests IA dispersés deviennent un risque opérationnel
Champs du 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
Exemple rempli
Client reporting workflow for a paid media account.
Les exemples remplis ci-dessous restent en anglais, car Prova évalue les artifacts soumis en anglais.
Version faible vs version solide
Version faible
- 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 |
Pourquoi cela échoue
- "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.
Version solide
- 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 |
Pourquoi cela fonctionne
- 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.
Ce que Prova vérifie et que l’IA générique rate souvent
- 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
Prochaine étape
Tu veux un retour sur ta version? Prova commence par une courte évaluation pour aligner le standard de revue avec ton rôle, ton objectif et ta première audience. Ensuite, tu entres dans le sprint adapté à ton travail actuel.
Prova est actuellement disponible uniquement en anglais.
Avant d’envoyer: retire les noms de clients, les chiffres confidentiels et tout élément que ton équipe ne voudrait pas stocker dans un système de formation ou de coaching.
Continuer vers Prova en anglais