Process Discovery with AI - productivity and improvement analysis

Описание: Every company has procedures, documentation, and reports. But do processes really look the way they’re described on paper? From our experience – not quite.

00:00 – Teaser / Highlights & Introduction
02:24 – Who’s our guest and why talk about productivity mining
04:30 – What is productivity mining and what does KYP AI actually do
05:21 – Why are companies investing in process discovery now
06:44 – What do you usually find when you look at the data
11:45 – Variants, workload and continuous improvement
23:35 – Where does technology become a bottleneck
26:34 – Can productivity mining uncover new automation opportunities
34:39 – What challenges do you see when companies adopt these tools?
44:11 – Data security, privacy and deployment choices
49:18 – What’s next for productivity mining and tools like KYP AI
51:50 – Closing thoughts

In this episode of AI Automation Dojo, Andrzej Kinastowski talks with Michał Kozubski (Office Samurai) about productivity mining and process discovery. With tools like KYP AI, organizations can finally see how work is actually being done – and use that data to improve efficiency, balance workload, or identify automation opportunities.

In the conversation we cover:
🔸 Why companies invest in productivity mining – and what benefits they expect
🔸 The gap between “documented processes” and “real-life processes”
🔸 What productivity mining uncovers (hidden apps, endless copy-paste, overloaded teams)
🔸 Using data to redistribute work and improve team efficiency
🔸 How to address employee concerns and show it’s not about surveillance
🔸 Challenges around people, processes, technology, and data security
🔸 How AI supports analysis and points to potential improvements

Credits: Host – Andrzej Kinastowski; Guest – Michał Kozubski | Production – Office Samurai Team & Wodzu Beats Studio

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