What type of grounding pulls relevant business data from Salesforce to contextualize AI responses?

Dynamic grounding is the correct type of grounding that pulls relevant business data from Salesforce to contextualize AI responses. This approach allows AI systems to access and utilize real-time data from Salesforce, ensuring that responses are not only accurate but also reflective of the latest information available within the organization. By leveraging dynamic grounding, AI can provide contextually relevant answers that take into account the most current data, leading to enhanced decision-making processes and improved customer engagement.

In contrast, static grounding would typically refer to pre-defined information that does not change frequently, which would limit the adaptability of the AI's responses. Grounding in CRM data is a broader term that might encompass various types of data pulling techniques but isn't as specific in capturing the active and ongoing nature of the data as dynamic grounding. Reference grounding would generally imply using known or fixed references, which might not effectively encapsulate the real-time aspect that dynamic grounding provides.