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Oracle just launched a blog series about making AI "practical for enterprise adoption" in their CRM. Translation: a large vendor is publishing thought leadership about the thing you actually need working by Thursday.

This is how enterprise CRM moves. A blog series. Then a roadmap slide. Then a beta program. Then a consulting engagement to configure the thing the blog promised. You've seen this cycle before — and you probably still have the invoice to prove it.

Here's what it means for you: while Oracle is writing about agentic AI becoming "production infrastructure," you're still manually updating deal stages because your current CRM can't trigger the right workflow without a developer ticket. The gap between what vendors announce and what you can actually use without a six-month implementation hasn't gotten smaller — it's just better marketed now.

AI in your CRM should solve a specific problem you have today, not a theoretical enterprise use case someone in Redwood Shores sketched on a whiteboard.

#CRM #SalesOps #MarketingOps #MidMarket #CustomerExperience

Original Source

... CRM. As a part of Oracle CX, I am focused on making generative and agentic AI practical for enterprise adoption as production infrastructure that ...