Integrating AI Into Workflows
The event, organized at Abu Dhabi’s HUB71 under the title “AI Transformation: The Human Capabilities for Success,” featured executives including Wael Aburida from Fikra Ventures, Ibrahim Badredeen of Korn Ferry, Claudius Boller of Wonderful, and Peter Zemsky of Lexarius and INSEAD.
Though many organizations introduced generative AI tools to staff roughly 18 months ago, the speakers noted that broader business performance gains have remained modest. The real potential emerges when AI is woven into end-to-end business functions, they said.
Boller cited a UAE-based firm that manages around 20,000 monthly procurement requests. Agentic AI helped reduce a procurement process that previously took six to nine days to around one hour, while greater supplier transparency and competition reportedly cut spending by 20 per cent.
Aburida shared another case: an “agentic chief of staff” system that analyzed nearly 40,000 conference participants, matched them against his professional network, and pinpointed the 100 most pertinent contacts. The AI then generated tailored outreach messages mirroring his communication style.
He also described financial applications processing over one million loan requests monthly, each evaluated within 60 seconds.
Transitioning From Trials to Real-World Use
Despite massive investments—estimates suggest between $30 billion and $40 billion globally in AI agent development—the panel referenced approximately $30 billion to $40 billion in global investment in AI agents, while noting that only around 5 per cent of agentic AI initiatives have reportedly reached production.
A recurring issue involves launching multiple pilot programs without fully committing resources to any single initiative. Instead, executives should prioritize high-impact challenges, assume ownership, and allocate sufficient funding to achieve verifiable business outcomes.
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Badredeen emphasized that leadership plays a key role. Research by Korn Ferry, involving 500 executives who successfully integrated AI, highlighted traits such as transparent communication, workforce engagement, and adaptability in uncertain environments.
Leaders must also bridge gaps between technical specialists and broader business units, translating AI’s potential into actionable solutions for specific organizational needs.
The discussion cautioned that expanded AI adoption introduces risks, including data breaches, insufficient oversight of autonomous systems, and potential long-term erosion of human skills. To mitigate these, AI agents should operate within defined parameters, clearly outlining permissible data access and actions, rather than operating with unrestricted autonomy.
Zemsky noted how AI could address workforce skill gaps. Lexarius demonstrated AI-driven simulations enabling employees to rehearse scenarios like job interviews and conflict resolution before facing them in practice.
As AI automates more tasks, the panel stressed that human strengths, such as analytical reasoning, decision-making, narrative construction, interpersonal communication, and relational skills, will grow in importance.
Rebuilding Organizations With AI at the Core
The next evolution of AI adoption will extend beyond technical implementation, the speakers suggested. While businesses now have comparable access to advanced AI systems, competitive advantage will hinge on how effectively they restructure operations and cultivate workforce capabilities alongside the technology.
