In light of possible security and accuracy issues with Amazon’s Q, how do you feel about it as an enterprise-level tool? Is it still something you’d consider adding to your stack?

I would approach Q (and any other GenAI tool) as a potential component in a larger application.  For instance, for internal enterprise search using a RAG architecture, there are multiple tools involved that have to tied together.  If done well, the accuracy issues should be mitigated and security issues more controlled.  

So yes, I would consider it as part of the stack, but I would set expectations that the technology is not intended to be rolled out on it's own as a general purpose tool.

I would also not do so without an AI governance process in place that will evaluate the AI-specific risks during the architecture process etc.