Executive primer: Conversational AI for real factory results
What it is, where it fits, and how to deploy for measurable impact—fast.
What You'll Learn
- What Conversational AI is—and isn’t—in manufacturing
- RAG-based answers without training on private data
- High-value use cases across MES, ERP, and SCADA
- Guardrails: access control, lineage, and citations
- Rollout plan from pilot to enterprise scale
- KPIs to track: time-to-insight, MTTR, yield, scrap
Why It Matters
- Decisions in minutes, not months of BI backlog
- Frontline access in chat, email, and apps
- Lower downtime via faster root-cause answers
- Safer adoption with clear scope and controls
- Measurable outcomes: 50–90% faster insights reported
What You Can Share with Others
- Executive checklist: scope, data, guardrails, KPIs
- Role-based question library for quick wins
- Comparison table: Conversational vs. Predictive vs. Vision AI
- Pilot-to-scale road-map one-pager
Download the executive primer
Learn where Conversational AI delivers value now—and how to launch safely.
FAQ
Q: Does it train on our private data?
A: No—RAG retrieves from your sources without model training.
Q: Will it replace our BI dashboards?
A: It complements BI with instant, contextual answers to ad-hoc questions.
Q: Where should we start?
A: Target top questions by role; connect a few trusted systems first.
Q: How do we keep answers trustworthy?
A: Enforce access, lineage, citations, and human-in-the-loop review.
Q: What isn’t it good for?
A: Forecasting, image inspection, and closed-loop control—use other AI types.