Wie Teams JieGou nutzen
Repräsentative Einführungsszenarien, die zeigen, wie verschiedene Teams KI-Automatisierung in ihren Arbeitsalltag integrieren.
We're operating production AI for paying customers today. Published case studies follow when customer relationships are mature enough to back named outcomes. Until then, /reference-architecture and /10-layer-assessment are the public artifacts you can evaluate without committing.
§1 — Where we are honestly
Early. Operating production AI. Not yet ready to publish named case studies.
JieGou is pre-seed. We have paying customers running production AI today — including a 12-month-tenured customer relationship and an active pilot with a $750M mid-market manufacturer. We don't publish anonymized hypothetical case studies because they signal weakness, not strength: any vendor can write 'typical adoption scenario.'
What we will publish: named-customer case studies with concrete outcomes (time saved, errors reduced, audit findings cleared) once customer relationships are mature enough to back the outcomes contractually. lighthouse Phase 1 is in flight; the case study lands when Phase 1 ships.
Until then: peer-CIO reference calls available as part of the discovery process. We'll arrange a 20-min call between you and an existing customer (typically the technical lead, not founder-to-founder) so you can ask honest operational questions without a sales rep present.
§2 — Public artifacts you can evaluate without committing
Three things that don't require a sales conversation.
Erzielen Sie ähnliche Ergebnisse für Ihr Team
Early Operations Partner engagements get founder-led delivery + favorable lighthouse pricing in exchange for named case study + peer-CIO reference calls when the engagement matures. 30-min discovery call to discuss the shape.