 The second challenge you mentioned, ability to operationalize and move beyond proof of concept to production. I think it's related to both the skills gap and it's related to the data challenge. But why is that difficult for agencies? Is it a barrier that you're seeing stops the progress of agencies be able to move into more depth of AI? Give me a sense of it. And how do you overcome the operationalization?