Interesting Read from Our Partners
Xebia has embarked on a bold journey to explore how Generative AI (GenAI) can reshape productivity and IT delivery costs across the entire Software Development Life Cycle (SDLC). Picture this: a manufacturing-like approach where various AI models—whether proprietary or open-source, hosted in the cloud or run on-premise —are being tested to glean the most effective results.
With a keen emphasis on Key Performance Indicators (KPIs), Xebia aims to make productivity gains not just visible, but quantifiable.
Our initial findings are promising; early tests and proof-of-concept projects suggest potential productivity gains of up to 40% in business analysis and test preparation alone. This is not just a modest improvement; it represents a significant step toward redefining how we approach IT delivery.
Introducing AI Factory Accelerators
We are introducing what we call “AI Factory” accelerators, a concept distinctly different from the co-pilot approach of individual assistants. What we’re talking about here is a more inclusive end-to-end strategy that broadens the application of GenAI, making its benefits less reliant on the specific knowledge and prompting skills of individual team members. By utilizing AI accelerators, processes are streamlined and outcomes enhanced.
A Shift to Automated Prompt Enhancements
Current GenAI tools are evolving rapidly, moving beyond individual prompting to embrace automated prompt enhancements that require no manual intervention. In traditional software projects, success hinges less on the coding skills of individual developers and more on the orchestration of a seamless end-to-end process.
GenAI: Unique Operational Landscapes
Our factory-style approach mirrors the efficiencies of the manufacturing industry, optimizing every facet of the project to ensure measurable benefits.
However, we must recognize that there is no universal solution that will uniformly reduce costs across all processes. Just as every manufacturing factory operates uniquely, influenced by specific production conditions and success metrics, so too will our approach to Generative AI need to be tailored to our distinctive operational landscape.
Preparing for a Paradigm Shift
If the expected impact of Generative AI on technology and society manifests as widely predicted, we are on the brink of a monumental shift in IT delivery. This evolution will indeed necessitate agility in adapting to new, potentially factory-style business models. Drawing parallels with the revolutionary changes brought about by supermarkets and factories in the 20th century, we must prepare for this impending paradigm shift.
At Xebia, we are not just reacting to changes; we are anticipating and shaping the future of IT delivery.
Our commitment to embracing the capabilities of Generative AI positions us at the forefront of innovation and efficiency, preparing us to lead in a rapidly evolving landscape. The time to act is now. Let’s embrace this opportunity and redefine what’s possible together.
Authors; Business Agility Day Speaker – Karlijn Deforche, Christian Bucholdt & Welin Welchev
