"Over the past two years, we've all heard a lot about generative AI. But for all of the hype about how it might change the business world, finding concrete examples of what it is doing right now isn't always easy. More often, companies report struggling-and failing-to create value with their AI experiments."
" is a Professor of Strategy at INSEAD and a coauthor of five best-selling books, including Nathan Furr The Upside of Uncertainty, The Innovator's Method, Leading Transformation, Innovation Capi tal, and Nail It then Scale It."
"Sid Mohan is the Director of Data Science and AI for Artefact Northern Europe and the U.S. Sid brings significant experience from having deployed numerous AI and agentic AI solutions for numerous U.S. and European clients."
Generative AI has generated widespread attention over the past two years, but concrete examples of immediate business impact remain limited. Many organizations run AI experiments that struggle to produce measurable value or fail to scale. Realizing value requires strategic clarity, operational capability, and experienced technical execution. Practitioners with hands-on deployment experience in agentic AI and cross-regional projects bring practical know-how for moving pilots toward production. Organizational alignment, clear metrics, and iterative scaling approaches increase the likelihood of achieving sustained returns on AI investments.
Read at Harvard Business Review
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