- Sopra Steria Next Announces First Publication of CIO Compass Focused on Scaling Generative AI
- Despite widespread adoption, less than a third of projects reach stable operational levels, highlighting the critical challenge of moving from experimentation to sustainable, safe, and controlled performance.
- With this initial focus, Sopra Steria Next strengthens its position as a leading player in building AI at scale, providing a practical perspective and tangible means to turn innovation into business results.
Paris, April 9, 2026 /PRNewswire/ — Sopra Steria Next today announces the first publication of CIO Compass focused on scaling generative AI. Although organizations have invested heavily in this topic, there remains a gap between ambition and reality, and most initiatives remain experimental and fail to deliver sustainable value. In response, Sopra Steria Next sets out a clear and practical framework for turning AI into a core performance driver.
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This publication forms part of CIO Compass, a thought leadership platform launched by Sopra Steria Next to support CIOs accelerating technology transformation. It identifies 10 priority actions to be taken over the next 18-24 months, structured around four key pillars: AI, data, infrastructure, and performance, to help organizations secure investment and maximize business impact.
Generative AI: Beyond the Hype and Moving to Industrial Performance
As generative AI rises to the top of C-suite agendas, Sopra Steria Next highlights a major contradiction. That is, although adoption is widespread, industrialization remains limited. Today, fewer than one-third of projects reach a stable operational stage, and most organizations remain in fragmented experimentation. To help CIOs move beyond this stage, Sopra Steria offers key recommendations for turning this technological challenge into structural change.
These recommendations are organized around three key priorities:
- Laying the foundation for AI at scale – This includes implementing the right architecture that combines governance, technology, and change management.
– Make governance a means of value creation and security
– Adapt to different AI models and know when to deploy SLM to increase efficiency when needed
– Drive adoption beyond training by building bridges between business and technology - Redesign end-to-end processes beyond isolated use cases – Rather than automating individual tasks, AI and its orchestration offers an opportunity to fundamentally rethink business processes to create value
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contact: Aurelien Frownatti [email protected]
Source Sopra Steria Next
