CRM

The first version of an agent you build through the declarative Agentforce Builder feels like magic. As the agent evolves, the manual overhead becomes more noticeable. By the fifth iteration, those manual steps begin to add up. By the tenth, you may be tracking version history in a spreadsheet, running tests by hand before every […]

Until recently, agentic AI in commerce has largely lived in the pilot phase. Businesses tested AI-powered agents for increasingly complex tasks, like generating product pages, drafting and localizing product descriptions at catalog scale, and managing promotions. Those pilots have proven their point. Now, AI adoption is no longer a differentiator. The question has shifted from

As AI becomes more conversational, autonomous, and embedded into our daily work, people increasingly expect greater visibility, verification, and control. They want status indicators, transcripts, and ways to pause, review, and confidently move forward. These are the kinds of needs that accessibility practitioners are accustomed to addressing for people with disabilities. Now that AI has

Try out Salesforce CRM Your customers remember every interaction. The unanswered email. The follow-up that never came. The service rep who had no idea about the purchase they made last month. For small business owners, those moments aren’t just frustrating — they’re expensive. When your customer relationships are your most valuable asset, letting them slip

As autonomous agents enter the workforce, they expose a hard truth: most enterprise foundations weren’t built to support them. Hyperscale frameworks often lack domain structure and context needed for enterprise operations, while standalone agents create brittle, disconnected systems that are difficult to govern.  Software was traditionally built around the assumption that someone must sit in

Get the AI Playbook Artificial intelligence (AI) is now part of everyday business life. It drafts emails, summarizes research, analyzes performance, and answers complex questions in seconds. Used well, it can feel like a force multiplier. Used carelessly, it can feel like a very confident intern with excellent formatting and poor judgment. For small and

The question for IT leaders isn’t whether to adopt agentic AI across ITSM operations. It’s how. And getting that architectural decision wrong will cost you. Two failure modes are emerging. On one end: rigid SaaS solutions lock you in a black box. You can’t extend them. You can’t connect your AI agents to the infrastructure

The most extraordinary things often begin in the most ordinary ways. A conversation. A question. An idea shared out loud that invites others in. Along the way, people offer new perspectives, give their time, and lend their talents until what started with one person is carried forward by an entire community. And what’s behind all

Salesforce Architects use the platform to design scalable solutions that meet business requirements, comply with best practices, and play well with related enterprise systems in the organization’s ecosystem. At the same time, many companies struggle with adoption, tech debt, and adapting to the rate of change of AI.  This can also hold true after an

Check out Dreamforce Dreamforce is one of the few places where the world’s most ambitious companies — yours included — are all in the same room. The challenge? Dreamforce is enormous. Without a strategy, it’s easy to feel overwhelmed, miss the sessions that actually matter, and leave with a tote bag full of swag and