New · 3 live sessions · February–March 2027
The IT/OT AI Academy
Everybody talks about AI. Vendors show nice slides. But where do you start? In three live sessions you build with us, find out where your plant really stands, and learn how to deploy Industrial AI fast and at scale.
Our IT/OT Core Academy has already trained 100 students from plants, IT/OT teams and vendors. The AI Academy is its new companion, built for the most important gap in manufacturing today: going from AI talk to AI that works in your plant.
Reserve your early-bird seat
The problem
AI is everywhere in manufacturing. Except in the factory.
AI adoption is rising. But in manufacturing, most of the new use is generative AI in the office, not on the shop floor. Text generation and text mining now lead. AI in production is growing more slowly.
The IT/OT Core Academy fixes your IT/OT Cooperation and introduces your Industrial Data Platform. Our brand new AI Academy explains you where to start, and how to scale Industrial AI.
Why manufacturers don’t use AI (yet):
- 1 Lack of expertise
- 2 Data protection questions and privacy concerns
- 3 Data availability and quality
Since we started in 2025, 100+ students have joined our public cohorts:
The Industrial AI Maturity Model
Where does your plant stand?
Our Industrial AI Maturity Model runs from people chatting with their own AI tools at home to a virtual engineer: four levels, moving from human centric to system centric. Between every two levels sits a stepping stone, the things you need in place to move up. Most plants we meet sit at L0 or L1. The academy shows you how to climb.
Click a level, or a ◆ stepping stone between two levels, to explore the model. You can also use the arrow keys.
Level
L0 · Shadow AI
What
People using their own personal AI toolset (the ones they know from home).
Risk
- Governance / legal: data exposure to third parties!
- Scaling: does not scale.
Stepping stone
From L0 to L1
Stepping stone
People use the company-provided AI toolset to create reports, small applications, etc. through chat.
Risk
A very simple step to take, but we should distinguish between what an individual can achieve and what the organization can learn.
Level
L1 · Chat · Individual
What
“Excel on steroids”
Risk
When these AI initiatives stay with the individual, this is the final station of your AI maturity.
Stepping stone
From L1 to L1+
Stepping stone
Community / excellence centers are set up to work on standards, best practices and a common language, and to build expertise.
Level
L1+ · Chat · Organizational
Examples L1+
- RCA bot
- 5-Why bot
- HAZOP support bot
- Training instructor bot
- …
Key message
This is your ultimate prototyping and learning level!
Stepping stone
From L1+ to L2
Stepping stone
- Centrally governed data and AI platforms (→ see our Capability Maps)
- Strong strategic collaboration with IT (→ see our Cooperation Models)
Level
L2 · Reason
This is where autonomy enters the picture!
Examples L2
- An anomaly is detected automatically
- The system checks all knowledge
- It lists potential issues
- It sends an operator to collect more data (you will never have enough data)
- It creates and assigns the right work order with the right priority
Stepping stone
From L2 to L3
Stepping stone
- Crystal ball: don’t try to predict what will happen (nobody knows).
- But… the number one requirement: strong cooperation between IT, Data/AI and Maintenance.
Level
L3 · Virtual Engineer
The future
Deliberately left open. Nobody knows yet what a virtual engineer will look like — but the plants that get there will be the ones that built the stepping stones first.
Session 2 of the academy gives you the assessment to place your own plant on this model.
Can AI run your plant?
Lights-out plants, humanoid robots, AI that understands the whole shop floor: how close are we really? David and Willem separate hype from reality, and explain why AI that helps engineers investigate problems is a more realistic first step than autonomous control.
Three Fridays. From “wow” to “how”.
Session 1
Hands-on Workshop
Inspire. Be amazed.
AI is moving fast. Building applications, even a full SCADA system and a simulator, has become almost child’s play. We built a SCADA for a dam and a root cause analysis bot in a couple of hours. In the first session you build together with us.
- Live build: from an idea to a working plant app in one afternoon
- Build your own Virtual Maintenance Engineer: run a root cause analysis on a turbine trip at our Copper Canyon Dam, from timeline to structured report
- What a standard enterprise chatbot (ChatGPT, Claude, Copilot) already does well in a plant, and where it stops
- The first real win for AI in brownfield plants isn’t autonomous control, it’s autonomous investigation
Take-away: our Plant AI Assistant Pack
Session 2
The Industrial AI Maturity Model
Know where you stand. Know what’s next.
Most plants are stuck between individual chat and shared bots. In this session you place your plant on our Industrial AI Maturity Model, and learn what it takes to climb from L1 Chat to L2 Reason.
- The maturity model in depth: L0 Shadow AI to L3 Virtual Engineer, and the stepping stones between each level
- Why process data is different: drift, few failures, operator trust, correlation vs causation
- The Industrial DataOps architectures that matter most for Industrial AI (a short recap; the full content is in the Core Academy)
- Ontologies and knowledge graphs: giving AI the context of your plant
Take-away: our Maturity Assessment and Workshop Guide
Session 3
Industrial AI-Ops
Deploy fast, deploy at scale.
Pilots don’t die because the model is wrong. They die because nobody built the edge runtime, the drift watch, the guardrails or the owner after go-live. In session 3 we walk through our Industrial AI Capability Map: what you need to Ground, Reason, Prove, Run and Act, and what changes when you go from one use case to every site.
- Building for repeat: why the second use case should cost less than the first
- Rolling out an enterprise assistant safely: usage policy, what may be pasted, champions per site
- The other half: security and the IT/OT boundary, guardrails, and how much decision authority AI gets (observe, advise, prepare, execute within limits)
- Buy, build or both: making the call, and evaluating AI vendors
Take-away: our Industrial AI Capability Map
Built for the same mixed room as the Core Academy
I’m in operations or a plant.
You want AI use cases that survive contact with the plant, and to know what to ask vendors.
I’m in IT, OT or data.
You want the architecture, platform and governance patterns to take AI beyond one site.
I’m a vendor or integrator.
You want to understand how plants adopt, evaluate and buy AI, and what your offer must answer.
Trusted by technology vendors, consultants and system integrators from:
Group 1
Three Fridays, February–March 2027
| Session | Date | Time |
|---|---|---|
| Session 1 · Hands-on Workshop | Fri, 26 Feb 2027 | 14:00 CET · 08:00 EST · 2.5h |
| Session 2 · The Industrial AI Maturity Model | Fri, 5 Mar 2027 | 14:00 CET · 08:00 EST · 2.5h |
| Session 3 · Industrial AI-Ops | Fri, 12 Mar 2027 | 14:00 CET · 08:00 EST · 2.5h |
Live on Zoom. Every session is recorded, so you can catch up if you miss one.
The only early bird we will run
Early bird: first 10 seats only
Early-bird pricing applies to the first 10 seats only, and we will not run another. Prices excl. VAT.
Bringing your team? Bulk discounts: buy 3 seats, get the 4th free. Also 6+2 and 9+3!
VAT (where applicable) is not included – All dates are subject to change – Our
Terms & Conditions apply
This training is offered by IT-OT Insider BV, Eetveldstraat 40, 1980 Eppegem, Belgium. VAT Number: BE1024.106.895
All questions and remarks can be send to academy@itotinsider.com
FAQ
Do I need to have done the Core Academy?
Do I need to code?
We have no AI platform yet. Is this for us?
Is it vendor-neutral?
Are the sessions recorded? What if I cannot make it to one?
Can we run it privately for our company?
Do I get a certificate?
How can I attend the sessions?
Do we get bulk discounts?
Need more than 13 seats? Get a custom quote or book a private cohort!
Why should my company sponsor this training?
- Fewer AI pilots that die after go-live – we show what it takes to run AI in a plant, not just to demo it.
- A clear view of where you stand – with the maturity assessment, your team knows which next step pays off.
- In-house expertise you can trust – your people can judge AI vendors and make the buy-or-build call, instead of leaning endlessly on consultants.
Do I need to have your book?
What's the difference between the AI Academy and the Deep Dives?
Do I get an invoice?
I need to go through purchasing first, can I get a quote?
Can I book this training on behalf of someone else?
Are refunds possible?
However, if you would be unexpectedly unavailable at the time of your cohort, we can move you into another cohort taking place now or in the future.
Do you also offer an e-learning?
Want more?
Meet the IT/OT Academy Deep Dives
The AI Academy gets you started in three sessions.
The Deep Dives is where we keep going. It's where our community keeps on meeting.
Where the article and the podcast stop, we dig further. Live, monthly sessions going deep on one topic at a time: DataOps in practice, Industrial AI, NIS2, building ontologies, and more. Ninety minutes, ten sessions a year. Recordings of all previous sessions at your disposal.
One year of Deep Dives (10 sessions): €850 / $990
Coming up next
Fri 13 Nov 2026 · 15:00 CET
The State of GenAI in Manufacturing (Nov 2026)
Join David and Willem as they discuss what GenAI really brings to Manufacturing today.
Fri 11 Dec 2026 · 15:00 CET
Hands-on UNS: Building a unified namespace for Sweet Harmony Treats (Dec 2026)
Fri 8 Jan 2027 · 15:00 CET
Our view on the Industrial DataOps Market (Jan 2027)
Questions about the AI Academy?
Want to book for a whole team, or run it privately with your own use cases? Send us a message and we’ll get back to you.