Where agentic coding is accelerating in-house AI software
(Among senior leaders whose organization is investing in AI and has fully deployed/is piloting AI to develop in-house software for internal organization use)
In agentic coding, the cost of pursuing a good idea has fallen dramatically, but so has the cost of a bad idea. You’ve got a fast car: who do you trust to drive it, and where do you want to go?
Types of custom software being built with AI for internal use
Senior leaders are highly enthusiastic about in-house, AI-built software development for internal organizational use. In fact, 91% of those whose organization is investing in AI say that their organization views this software development for internal use as a critical way to de-risk reliance on traditional enterprise software vendors. And 87% say they have either fully deployed or are piloting programs to develop in-house, AI-built software for internal use. In theory, that roadmap will take organizations away from established software providers. Yet for every solution, there is a problem: who is maintaining, governing and securing these projects?
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Explore the data, insights, and executive perspectives shaping the future of enterprise AI adoption.
Traci Gusher
EY Americas AI and Data Leader
