Automatisation IA en pratique
Missions selectionnees. Les noms clients sont anonymises; cas complets disponibles sur demande.
Industries: distribution B2B - formation aviation - operations ecommerce
B2B Distribution B2B
6 weeks AI AutomationB2B Textile Importer - Supplier Catalog Automation
Resultat mesure
3 days -> 14 min per supplier cycle
Systeme livre
Supplier data ingestion, translation, enrichment, exception QA, and Airtable handover.
Defi
Les mises a jour catalogue prenaient 3 jours de coordination fournisseur, traduction et QA par cycle.
Approche
We built a monitored ingestion and enrichment workflow with human review for exceptions.
Resultat
3 jours -> 14 min
Ce que le client a recu
- Production workflow
- QA rules
- Operator runbook
- Dashboard-ready data
Aviation Training
4 weeks Agent SystemAviation Training School - Briefing Automation
Resultat mesure
4-6 hrs -> instructor approval review
Systeme livre
Regulatory document intake, structured lesson drafts, instructor review gates, and Slack-ready summaries.
Defi
Les rapports ops etaient assembles manuellement depuis quatre systemes, avec briefs tardifs et handoffs manques.
Approche
We structured the source flow and added human approval at the instructor layer.
Resultat
4 h -> zero
Ce que le client a recu
- Document intake flow
- Approval queue
- Instructor brief template
- Escalation rules
Ecommerce Operations
8 weeks AI-Led OpsEcommerce Network Operator - Content Throughput
Resultat mesure
15 -> 150 content pages per week
Systeme livre
Product data intake, brand voice rules, draft generation, QA queue, and publishing workflow.
Defi
La production contenu bloquait la croissance: 15 pages/semaine, voix de marque irreguliere, pas de marge pour les nouvelles collections.
Approche
We built a brand-safe content agent with QA before publishing.
Resultat
15 -> 150 pages/sem
Ce que le client a recu
- Content agent
- Brand rules
- QA workflow
- Publishing handover
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