e& collaborates with IBM to redefine AI governance and ethics

e&, a leading global technology group, has joined hands with IBM to launch a groundbreaking end-to-end Artificial Intelligence (AI) governance solution. Announced at the World Economic Forum 2025, the collaboration underscores e&’s commitment to ethical AI practices, robust governance frameworks, and proactive compliance measures across its growing AI ecosystem.

The partnership integrates IBM’s watsonx.governance, a cutting-edge enterprise AI and data governance platform, with IBM Consulting’s expertise in implementing scalable AI solutions. Together, the companies aim to address complex challenges surrounding transparency, compliance, and ethical oversight while advancing e&’s ambitious AI strategy.

How Does the e&-IBM Partnership Elevate AI Governance?

The collaboration addresses a critical industry need for transparent and ethical AI practices, combining IBM’s globally recognized tools and consulting capabilities with e&’s expansive AI initiatives. The resulting platform is designed to provide real-time performance monitoring, automated risk management, and comprehensive compliance oversight, ensuring AI models operate responsibly throughout their lifecycle.

Dena Almansoori, Group Chief AI and Data Officer at e&, highlighted the importance of this initiative, stating:

“As AI continues to transform industries, responsible governance is paramount. By adopting IBM watsonx.governance, we are setting a new standard for transparency, explainability, and efficiency in AI operations, reaffirming our leadership in responsible AI innovation.”

This step aligns with e&’s broader mission to scale AI responsibly while delivering measurable value to its stakeholders.

What Makes IBM watsonx.governance Unique in the Industry?

IBM’s watsonx.governance platform brings advanced capabilities to the forefront of AI governance. The solution offers:

• Dynamic Monitoring: Real-time insights into model performance and risk scoring, allowing for early detection of issues such as bias or drift.
• Centralized Oversight: A unified inventory of AI models ensures full traceability and accountability across their lifecycle, from development to decommissioning.
• Compliance Assurance: Automated tools track adherence to regulatory standards and ethical AI guidelines, mitigating potential risks.

These features empower e& to enhance its AI operations while addressing critical concerns such as transparency, bias detection, and regulatory compliance.

According to Shukri Eid, General Manager for Gulf, Levant, and Pakistan at IBM:

“IBM watsonx empowers organizations like e& to navigate the complexities of AI governance. By integrating automation and centralized oversight, we are reducing risks while fostering trust in AI.”

Why Is Ethical AI Governance a Priority for e&?

As e& expands its AI ecosystem, it recognizes the growing need for accountability and responsible AI practices. The new governance framework addresses key challenges, including:

• Navigating regulatory requirements in diverse global markets.
• Mitigating ethical risks and potential biases in AI decision-making.
• Scaling AI operations transparently to build stakeholder confidence.

The deployment of IBM’s solution further supports e&’s commitment to maintaining ethical standards. It also positions the company as a leader in responsible AI governance, setting benchmarks for global technology enterprises.

How Will This Collaboration Impact the Industry?

The e&-IBM partnership goes beyond internal AI governance. It serves as a model for other organizations, showcasing how robust frameworks can address risks and enhance accountability. By leveraging IBM Consulting Advantage, e& is accelerating the development of its AI governance strategy through persona and journey mapping, market research, and architecture patterns for AI integration.

Additionally, the collaboration builds on a strong foundation of mutual innovation. Their recent joint report, MENA’s AI Advantage: Opportunity to Leap Ahead and Lead, explored the region’s potential to become a leader in AI adoption. The findings emphasize the need for trustworthy AI practices—a cornerstone of this latest initiative.

What Does This Mean for the Future of AI Governance?

This partnership marks a significant milestone in advancing responsible AI innovation. By leveraging cutting-edge technology and expertise, e& and IBM are addressing some of the most pressing challenges in AI governance today.

Through real-time monitoring, automated risk detection, and centralized oversight, the solution provides a comprehensive framework for managing AI models at scale. As the global demand for ethical AI continues to grow, this initiative positions e& as a frontrunner in shaping industry standards for transparency and accountability.