Open method · Reference
Oper8 helps teams put AI into the day-to-day work of a company. AI works alongside the people in the process; every decision is logged, and that record improves the next one. The result is not a one-off pilot, but a process that gets faster every week.
The book
What’s inside
The book walks through the whole method on one company’s story, from start to finish. Every idea is shown inside a concrete situation rather than an abstract diagram: what changes in the process, how people react and what the process produces.
The English edition is being prepared. Write to us and we will send it as soon as it is out.
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Outer loop · the customer teaches
Core · Decision Log
Inner loop · the system learns
The fifth shift · Hypothesis
The method proposes a move from defending a copyable product interface to building service shaped by repeated decisions with customers. Memory records those decisions with observed outcomes; reviewed recurring patterns enter the third layer of the Knowledge Base.
Product-Service Blend is the service form offered now. The Data Flywheel is the operating feedback mechanism. Service as Moat is a possible strategic effect over time, if those learning loops stay active and their quality is reviewed.
A hypothesis from approximately 12 projects in 2024–2026.
Read the reference article →Reference
Atomic entries: one idea, one page. Between them runs a web of links — what reinforces what, what contradicts what, which failure pattern poisons which concept.
The anatomy of the flywheel: what it is, how it is built, why it works.
What to do, and how, while you are building an AI process.
This is the first wave. The full map of the method runs to about a hundred entries; new ones appear as the material settles in projects.
In two days your team assembles the flywheel on one of your own processes.
About the workshopThe full cycle from spec to a running pilot. Eight to twelve weeks with our team.
See the approachWe’ll tell you which of your processes are ready for AI, and where to start.
Book the reviewThe method was written by Sergei Lipchanskii (founder of Kiberry) and Askhat Urazbaev (founder of ScrumTrek). It was assembled out of 18 years of product transformations and three years of AI projects — among them Haleon, Coca-Cola HBC, Bizerba, Chery and Astana Hub.
More about the authorsWe’ll look at your problem, pick the right format, and show where AI actually strengthens your operations.
50+
companies have gone through AI transformation with us — from diagnostics to working solutions.
© 2026 Kiberry — the European practice of ScrumTrek
