Do You Really Need an AI Agent? Consider These Scenarios

AI agents are incredibly powerful, but they’re not always the right fit for every situation. Knowing when not to deploy them — or when to hold off — is just as important as knowing when to lean in. By being thoughtful and strategic, you can avoid missteps and get even more value from your AI investments. Here are several scenarios where it’s worth pausing to reconsider your approach.

19 Agentic AI terms every business user should know 

Terminology about AI agents is piling up faster than your unread Slack messages. Don’t let confusion around the lingo be a roadblock to adoption and success. This handy glossary will help you understand the basics so you can feel confident about your strategy, and sound knowledgeable when the conversation turns to AI at your next dinner party. 

AI agent spotlight: Fisher & Paykel 

See how this maker of high-end kitchen appliances uses Agentforce to scale its workforce, and solve twice as many customer inquiries without escalating to human service reps. 

ICYMI

• Organizations should prioritize fit over flash when it comes to AI agents. The easiest starting point? Look at work already being done, then map its value and analyze opportunities to create the same value faster and more reliably with AI agents. (VentureBeat)  
• New research finds a deep divide between experts and the general public on their views on AI, including its impact on work and jobs, and news and elections. (Pew Research) 
• How are people really using generative AI in 2025? A new study shows the top use case is therapy/companionship. Last year’s top use was idea generation, which has fallen to #6 behind “finding purpose” and generating code. (HBR.org) 

This newsletter was curated by Lisa DiCarlo Lee, Contributing Editor at Salesforce.

We want to know what you're doing with AI. What's been your biggest triumph? And biggest disappointment? Let us know in the comments. We read each one and just might feature your use case in a future newsletter!