AI-Augmented Software Transformation in B2B Industrial Services

Eriks was facing rising development overhead, fragmented documentation, slow QA cycles, and under-leveraged data across tools. Despite robust processes, inefficiencies in story creation, test coverage, and API validation limited speed and scale.
Eriks usecase
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In this article

Overview

Eriks integrated AI across its SDLC to enhance development efficiency, testing accuracy, and documentation speed. By leveraging tools like GitHub Copilot, Atlassian AI, and PostBot, the organization transformed traditional workflows into AI-assisted processes.

The Challenge

Eriks faced rising development effort, slow QA cycles, and fragmented documentation across teams. Manual story creation, inconsistent test coverage, and delayed API validation were impacting speed and scalability.

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