OT data readiness
Honest feasibility before PoCs.
session outline
- PLC historian vs. MES gaps
- Labeling maintenance tickets
labs
- Risk matrix
beyond-catalog topics (custom)
- Partnering with OEM equipment vendors when closed systems limit telemetry
explainx / curriculum sample
Manufacturing & industrials AI curriculum — OT/IT bridge▌
Respects OT constraints—we don’t teach ignoring plant safety; we focus on data availability, latency, and changeovers.
instructional design: bloom’s taxonomy + measurable outcomes
Every module maps to explicit learning outcomes—not open-ended discussion without deliverables. We sequence along Bloom’s taxonomy (remember → understand → apply → analyze → evaluate → create): definitions and guardrails first, then applied exercises, then measurement and approvals. Facilitators run short checks for understanding after each block (2026 materials).
For organic and generative-engine visibility (GEO), we mirror patterns associated with stronger AI-search citation: answer-first sections, statistics where available, authoritative tone, clear H1–H3 structure, comparison tables when they reduce ambiguity, and FAQ blocks intended to pair with FAQPage JSON-LD. Teams produce briefs, scorecards, and checklists—not a generic “AI creativity” workshop.
program objectives
- Pick pilots with sensor/ERP data sufficiency before AI promises attach.
- Align plant managers and IT on edge vs. cloud inference tradeoffs.
how we deliver
- 1
Discovery call & problem framing
We align on sponsors, success metrics, and constraints (2026 tool landscape, data rules, procurement gates) before anything is scheduled company-wide.
- 2
Stakeholder interviews & day-in-the-life context
Short conversations with practitioners (not only leadership) so scenarios reflect real workflows—not generic slide demos.
- 3
Curriculum design & artifacts
Modular agenda, exercise scripts, evaluation rubrics, and governance checkpoints matched to your vocabulary (banking, FMCG, engineering, etc.).
- 4
Engaged, hands-on delivery
Facilitation-led sessions with live exercises, breakout prompts, and documented failure modes—minimum passive lecture time.
- 5
Post-session support: documentation & next steps
Written recap, pilot backlog, links to explainx.ai courses for scaled upskilling, and optional office hours so momentum doesn’t stop at the workshop.
modules
quick contact
Scope or pilot this curriculum
Share sponsor, headcount, and cities — we reply with timing and options. Rough budget helps us match the right depth.
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faq
On-site vs. remote?
Often hybrid: discovery remote, pilot weeks on-site for line context.