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ISSN 3071-124X · EIN: 33-2266959 · Verify on IRS.gov© 2026 American Impact Review
BusinessTheoretical ArticlePublished 6/9/2026 · 39 views0 downloadsDOI 10.66308/air.e2026048

Smart Lean in Gamedev: Reconfiguring the Production Flow When AI Handles Routine and Humans Stop Waiting

Maksim KananovichITGROUP L.L.C-FZ
Received 6/1/2026Accepted 6/7/2026
Smart LeanValue Stream Mappingdigital twinPDCAlive-ops
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Cover: Smart Lean in Gamedev: Reconfiguring the Production Flow When AI Handles Routine and Humans Stop Waiting

Abstract

This paper introduces the Smart Lean concept, an adaptation of Lean production principles to modern game development built around hybrid teams of human specialists and AI agents. Its core argument is that the dominant waste in game production is not task complexity but waiting time at the handoffs between roles waste that AI tools relocate rather than remove unless the value stream itself is redesigned. Smart Lean reorganizes production into hybrid cells, where AI handles draft and routine work under a Plan Do Check Act cycle while human specialists retain final acceptance and creative ownership. It transforms Value Stream Mapping from a static diagram into a live digital twin that surfaces bottlenecks in real time, converts handoffs between cells into stateful relays carrying quality certificates and context logs, replaces monthly retrospectives with data-driven Kaizen pulled directly from build telemetry, and applies Smart 5S to manage the clutter generated by AI at scale. Drawing on twelve years of implementations across fifteen studios ranging from 20 to more than 500 people, the methodology reportedly cut waiting time from 50-70% to 10-20% of cycle time and shortened production cycles severalfold, shifting specialist value away from routine execution toward decision-making, creative supervision, and flow management.

Cite asMaksim Kananovich (2026). Smart Lean in Gamedev: Reconfiguring the Production Flow When AI Handles Routine and Humans Stop Waiting. American Impact Review. https://doi.org/10.66308/air.e2026048Copy

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