Global technology group e& is partnering with IBM to implement an innovative, multi-model AI and generative AI governance solution. Unveiled at the World Economic Forum 2025 in Davos this week, the collaboration aims to enhance e&’s AI governance framework, ensuring compliance, ethical oversight, and transparency throughout its AI ecosystem.
The initiative leverages IBM’s watsonx.governance platform alongside IBM Consulting’s expertise in AI deployment. Together, they will establish a robust governance framework to manage risks, address regulatory standards, and optimize AI performance. Advanced features such as automated risk management, real-time compliance monitoring, and dynamic performance analysis will empower e& to detect biases, mitigate risks, and safeguard ethical AI practices across the AI lifecycle.
“At e&, we are committed to setting the global benchmark for AI governance,” said Dena Almansoori, Group Chief AI and Data Officer at e&. “Our collaboration with IBM ensures transparency and efficiency across our AI operations, reinforcing our leadership in responsible AI innovation.”
Explore related questions
IBM’s tools will enable e& to maintain a centralized inventory of AI models, ensuring full traceability and real-time insights into model performance and compliance metrics. IBM Consulting will tailor the governance framework to e&’s needs, accelerating its development through advanced AI-powered delivery platforms.
This partnership builds on a history of collaboration between e& and IBM, including their joint report on AI opportunities in the Middle East.
What this means for ERP users
AI governance is gaining momentum. The e& IBM partnership comes in the same week that data governance platform Collibra announced the launch of its EU AI Act Assessment tool to help organizations streamline their compliance efforts and foster responsible AI deployment. The launch of these tools and partnerships highlight the growing focus of organizations on governance as AI adoption increases across industries. Through their partnership, e& and IBM are paving the way for scalable, ethical, and transparent AI adoption.
Automated AI governance tools can ensure a fair AI model. A survey by PwC indicates that 52% of companies struggle to detect and mitigate bias in their AI models. Moreover, 68% of organizations deploying AI lack clear accountability frameworks, according to a Deloitte report. These statistics show highlight the gap between a company’s investments in the technology and their ability to ensure quality data by using it. This is where partnerships like e& and IBM as well as other AI governance tools can help by ensuring high quality of the data that is being used by the AI models and that this data is secure and compliant with government regulations.
Integrating AI with ERP systems helps businesses optimize processes. Companies like IBM have pioneered the use of AI in ERP. For example, the company provides AI-powered data integration through IBM watsonx.data to unify data across an organization’s departments, while its Cognos Analytics solution provides advanced reporting and predictive insights. In September 2024, SAP unveiled updates to its generative AI assistant Joule that is embedded throughout SAP’s cloud enterprise portfolio and SAP applications from HR to finance, supply chain, procurement, and customer experience.
