“The IT team curtails its potential impact when its AI and data initiatives are built in a vacuum without asset visibility and a shared view of how systems, such as gen AI, both create value and introduce exposure,” says Yakir Golan, CEO of Kovrr. “Effective governance thus hinges on understanding what tools exist, what data they interact with, and the implications of their failure.”
Recommendation: While business teams often try to prescribe solutions, it’s IT’s responsibility to ask questions and discover the targeted business needs and requirements. CIOs should help IT leaders develop the business acumen, the courage, and the patience to collaborate with stakeholders on goals, rather than accepting solution demands as marching orders.
6. Accepting one-time projects without ongoing support
When agile teams successfully navigate AI from ideas through POCs, production deployments, and end-user adoptions, then they are really just at the start of delivering business value. The next stages require capturing feedback, measuring results, and iteratively making improvements to deliver against the stated success criteria.
