Resources
Inspiration, opinions and practical advice – shaped by hands-on experience – around how to harness the power of Salesforce.
You Don't Need a Bigger AI Budget at Dreamforce. You Need a Roadmap.
The challenge for most folks is wrangling the data for AI. Your customer data doesn't live in one place. It's scattered across a core banking system, a loan origination platform, a KYC or AML vendor, maybe a payments API or a banking-as-a-service partner if you're a fintech, with Salesforce sitting somewhere in the middle trying to be the system of engagement. Read this article to learn how to build your strategic AI roadmap without breaking the bank.
When Salesforce Agents Get Bossed Around: The Danger of Overloading Instructions
In practice, overloading your AI Agent with deterministic and very detailed instructions often backfires. Instead of improving accuracy, it can make agents brittle, confusing, and harder to maintain. Click here to learn how to fix it.
Overlapping Topics Are Confusing Your Salesforce Agents—Here’s the Fix
When multiple topics overlap, agents struggle to classify user intent resulting in confusion, misclassification, and frustrated customers. Click here to learn how to overcome this common challenge.
Tackling Latency in Salesforce AI Agents — Why Speed Builds Trust
Even a few seconds of delay can make users lose confidence in the AI agent and escalate to a human. In customer service, that’s the difference between adoption and abandonment. Click here to learn how to build trust in AI agents.
AI in Marketing Cloud: 5 Use Cases that Redefine Customer Engagement and Experience
Artificial Intelligence (AI) is transforming digital marketing, particularly when integrated with Salesforce Marketing Cloud, by enabling predictive analytics, personalization, and adaptive campaigns. Here are five key AI-driven use cases that will transform marketing cloud.