Salesforce is addressing a core obstacle in deploying artificial intelligence across business environments: the inconsistency of AI performance in unpredictable, real-world scenarios. Described by the company as “jagged intelligence,” this phenomenon refers to the uneven abilities of AI systems where high performance in certain tasks fails to translate into reliable execution across enterprise functions.
Unveiled during a detailed research briefing, Salesforce AI Research introduced new models, benchmarks, and agent frameworks aimed at closing this gap. The company’s goal is to improve not only the capabilities but also the consistency of AI systems operating in business-critical contexts, what it now defines as “Enterprise General Intelligence,” or EGI.
“While LLMs may excel at standardized tests, plan intricate trips, and generate sophisticated poetry, their brilliance often stumbles when faced with the need for reliable and consistent task execution in dynamic, unpredictable enterprise environments,” said Silvio Savarese, Salesforce’s Chief Scientist and Head of AI Research.
