Most companies deploying generative AI assume they fully own the output generated by these powerful tools. They don’t. The reality of intellectual property (IP) ownership in the generative AI space is far more complex, riddled with legal ambiguities, and often dictated by the fine print of vendor ag
Generic large language models often struggle to deliver precise, actionable insights within a specialized business context.
Most sales teams struggle with outreach fatigue, not just from their prospects, but from their own reps. The sheer volume of generic emails and LinkedIn messages required to hit quotas burns out teams and yields diminishing returns.
A customer support agent reads a chat transcript about a software bug. The user describes the error in detail, but the agent still can’t pinpoint the problem.
Many executives still view Generative AI as a novelty, a tool primarily for marketing copy or basic chatbots. This perspective misses the profound shift already underway.