November 2, 2025

How To Build a Smart Factory That People Actually Trust?

Everyone wants a “smart factory.” But here’s the truth: smart doesn’t automatically mean trusted.

Before a system earns the right to guide real-time decisions on your manufacturing floor, it needs to prove itself.

And that journey isn’t about technology first, it’s about people.

Here’s a 3-stage roadmap to adopting smart manufacturing that actually sticks:

1. 𝐒𝐭𝐚𝐫𝐭 𝐰𝐢𝐭𝐡 𝐓𝐫𝐮𝐬𝐭𝐰𝐨𝐫𝐭𝐡𝐲 𝐋𝐞𝐚𝐝𝐞𝐫𝐬


Every transformation starts with belief, not in machines, but in people.
You need respected leaders within your plant or organization to take the first steps.

Their credibility makes others willing to explore new systems. When they say, “Let’s test this,” others follow.

2. 𝐔𝐬𝐞 𝐒𝐦𝐚𝐫𝐭 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 𝐟𝐨𝐫 𝐑𝐞𝐭𝐫𝐨𝐬𝐩𝐞𝐜𝐭𝐢𝐯𝐞 𝐈𝐧𝐬𝐢𝐠𝐡𝐭


Don’t jump straight to predictive alerts. Instead, test the system where it matters: understanding the past.

Connect SCADA or IIoT data securely. Ask the system:
⇨ “What was happening at time T?”
⇨ “Could this have been flagged earlier?”
⇨ “What caused this failure?”

If the system can help diagnose issues after the fact, it earns the right to inform real-time thinking.

3. 𝐄𝐯𝐨𝐥𝐯𝐞 𝐢𝐧𝐭𝐨 𝐑𝐞𝐚𝐥-𝐓𝐢𝐦𝐞 𝐀𝐥𝐞𝐫𝐭𝐢𝐧𝐠 + 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧


Once the system earns trust, it can evolve into a smart alerting engine.
But be careful, alerts must be rare and relevant.

They must integrate with existing work systems. People should see an alert and know exactly what to do next.

That’s when smart becomes sustainable.

Kudzai Manditereza

Founder & Educator - Industry40.tv

Kudzai Manditereza is an Industry4.0 technology evangelist and creator of Industry40.tv, an independent media and education platform focused on industrial data and AI for smart manufacturing. He specializes in Industrial AI, IIoT, Unified Namespace, Digital Twins, and Industrial DataOps, helping digital manufacturing leaders implement and scale AI initiatives.

Kudzai hosts the AI in Manufacturing podcast and writes the Smart Factory Playbook newsletter, where he shares practical guidance on building the data backbone that makes industrial AI work in real-world manufacturing environments. He currently serves as Senior Industry Solutions Advocate at HiveMQ.