The Kanban method in the management of artificial intelligence and data science services

metrics for managing information flows

Abstract

Objective: The Kanban method is an approach strongly centered on the flow of information for project management, and can be adopted in the development of information products and services. The aim of this experience report is to present a proposal for using the Kanban method as a reference for improving information flows on demands, by a unit specializing in artificial intelligence and data science services at a public information technology company.
Methodology: Descriptive and exploratory in nature, this study used documentary research and direct observation to report on the improvement of activities carried out using Kanban-based change management. The proposal used central kanban metrics: lead time, delivery rate (flow) and work in progress (WIP), presented in dashboards, with data collected between August 2020 and July 2023.
Results: The dashboards produced made it possible to identify difficulties and map points of attention for adaptation and adjustments to work processes. The initiative began in August 2023 and has already achieved positive results throughout its adoption in the unit, which has inspired replication in other partner units within the same organization.
Conclusions: The adoption of Kanban practices has enabled a better understanding of the nature of the service and has also supported practical, actionable and evidence-based decision-making. Although still in progress, the proposal has already achieved its initial objectives. As future work and once the project has been completed and approved, it is hoped that the method will be adapted for the whole organization.