Many organizations mistake AI adoption for a simple tooling upgrade, but the reality is far more complex. Laura Fu, GTM Architect at DevRev, explains why implementation success hinges on fundamental changes to organizational processes rather than just the technology itself. The core issues often lie in a lack of robust change management and a failure to prepare data infrastructure. Relying on AI to simply overlay existing workflows without redesigning how teams execute tasks leads to inevitable failure. True progress requires shifting from viewing AI as a tool to treating it as an operating model problem, emphasizing the necessity for agent-readable systems and refined data strategies.
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