Customer feedback is essential to better experiences, yet traditional surveys and interviews often capture only a fraction of what people think. Research can take weeks to organize, analyze, and translate into action. Salesforce’s planned acquisition of Listen Labs signals a new direction for ...
Business teams rely on Salesforce to manage customer relationships, but important work often happens elsewhere, in messaging platforms, AI assistants, and collaborative applications. Salesforce AIforce addresses this disconnect by making CRM data and business capabilities available within the interf...
Enterprise AI is moving beyond chatbots that answer questions. Businesses increasingly expect AI agents to understand customer needs, coordinate workflows, and complete tasks securely. Salesforce’s latest Agentforce innovations point toward an agentic enterprise where people and AI work togeth...
Salesforce is moving beyond traditional CRM and basic AI assistants toward an agentic AI model where agents understand business context, reason through requests, use tools, and complete work across systems. Model Context Protocol, or MCP, is becoming important because it gives AI applications a stan...
Salesforce has a powerful native user interface through Lightning Experience and Lightning Web Components, but modern digital products often need experiences that extend beyond the CRM. Customer portals, dealer platforms, dashboards, commerce journeys, and specialized web applications may require mo...
Small businesses often start customer support with simple tools. Shared inboxes, spreadsheets, and basic ticketing systems may work at first. However, these tools can become difficult to manage as the business grows. More customers usually mean more questions, support requests, and follow-ups. As a ...
Salesforce is expanding its enterprise AI capabilities with Koa, its first CRM reasoning model for Agentforce. Built on NVIDIA Nemotron, Koa is designed for complex CRM work. Many CRM tasks require more than one action. An AI agent may need to understand customer context, choose the right action, us...
Every customer interaction creates data. Websites, mobile apps, connected devices, emails, sales activities, service conversations, and enterprise systems continuously generate valuable information. The challenge for modern businesses is not collecting more data. It is connecting that data and turni...
The Salesforce ecosystem is entering a new chapter driven by Agentforce, generative AI, and autonomous AI agents. While Apex, Lightning Web Components (LWC), and Flows remain fundamental, the role of a Salesforce Developer is evolving beyond traditional coding. Today’s developers are expected ...
Salesforce continues to evolve its AI ecosystem, and one of the most significant changes introduced in the Summer ’26 release is the transition from the Legacy Agentforce Builder to the new Agentforce Builder in Agentforce Studio. Starting the week of 13 July 2026, organizations can no longer crea...
Artificial Intelligence is no longer limited to customer support. Today, employee facing AI agents are transforming the way organizations operate by helping internal teams work smarter, faster, and more efficiently. Powered by platforms like Salesforce Agentforce, these AI agents provide instant ans...
AI is evolving beyond prompts, dashboards, and chatbots. A new model called Ambient Intelligence is emerging, where AI operates quietly in the background, continuously understanding signals, context, and user behavior without requiring constant instructions. AI Is Moving Beyond Prompts and Chatbots ...












