#salesforce ai agent

[ritikay]

Salesforce AI Agents: The Smart Colleagues You Didn’t Know You Needed

Customer Relationship Management (CRM) is undergoing a major transformation, and Salesforce is at the heart of this shift with the introduction of AI agents intelligent digital assistants designed to make CRM smarter, faster, and more proactive. Unlike traditional automation tools that follow set instructions, these AI agents bring a layer of intelligence, learning, and decision-making to everyday tasks within Salesforce.

So, what exactly are Salesforce AI agents? Think of them as AI-powered co-workers built into the Salesforce platform. They read context, interpret customer sentiment, learn from data, and even take action whether it’s updating a record, sending a follow-up email, or triggering a workflow. They’re not just automating tasks; they’re handling them with insight and adaptability.

These agents are powered by key Salesforce technologies such as Einstein GPT for content generation and natural language understanding, Apex for custom logic, and Salesforce Flow for orchestrating complex processes. With access to Salesforce’s deep data structures and APIs, they act seamlessly across different departments and functions.

Each AI agent follows a three-step process: first, it gathers information from multiple sources like emails or chats. Then it applies logic either rule-based or through machine learning models to decide what needs to be done. Finally, it takes action, whether that’s updating data, routing tasks, or initiating responses. This end-to-end workflow mimics human decision-making but at a much faster and more consistent pace.

The benefits are clear and immediate. AI agents boost team productivity by taking over repetitive work. They support smarter decisions by analyzing patterns and trends that are hard to spot manually. They also help deliver better customer experiences by responding faster and more personally, all while allowing teams to scale operations without scaling headcount.

As CRM becomes more about anticipating needs than just reacting to them, Salesforce AI agents are proving to be indispensable. They don’t just support your team they enhance it, working around the clock to make sure your business stays efficient, responsive, and one step ahead.

[fexleservices]

Give your business human like experience with Agentforce implementation

Enjoy the intelligence of AI Agents and the expertise of human professionals to deliver a seamless, scalable solution to your customers. Harness the power Agentforce with these seven tips and build meaningful connections with our business. Hire Salesforce implementation services today.

Learn more here!

[getoncrm]

 Inside Team TriAgent’s TDX 2025 Win: Innovation, Grit, and the Power of Collaboration

Team TriAgent’s journey at TrailblazerDX 2025 went beyond code and competition. From real-time Slack integration to building intelligent agents on AgentForce, their solution earned the “Best Use of Slack” award. This is a story of bold ideas, precise execution, and the collaborative spirit that pushed boundaries at one of the biggest Salesforce hackathons.

[vengoai]

Salesforce’s Agent Force 2 = next-level AI CRM. 💬 AI agents ☁️ Unified data 🤝 Real customer connection It’s not just automation—it’s innovation with intention.

VengoAI.com

[spinnrblog]

Salesforce’s Agent Force 2 = next-level AI CRM. 💬 AI agents ☁️ Unified data 🤝 Real customer connection It’s not just automation—it’s innovation with intention.

VengoAI.com

[technogrow]

Transform how your business works with Salesforce Agentic AI. Agentforce empowers you to build intelligent, autonomous AI agents that handle sales, service, and operations—no manual effort required. From streamlining support to accelerating deal cycles, it's not just automation—it’s a smarter workforce at your command. Ready to scale with digital labor? Discover what Agentforce can do.

[businesshonor1]

Salesforce Boosts Agentforce Platform by Acquiring UK AI Startup Convergence

Salesforce acquires Convergence to expand its R&D facility in London and improve AI agent technology.

Convergence, a young London-based AI agent company, has been bought by Salesforce, the massive U.S. software company. Convergence was launched a year ago by Andy Toulis and Marvin Purtorab, who had worked at major online companies like Shopify and Cohere.

Advanced AI agents—intelligent digital assistants that can comprehend and complete tasks independently—are produced via convergence. In artificial intelligence, these sorts of technologies are rapidly emerging as one of the most fascinating fields. Salesforce views this as a huge potential and plans to expand its own AI platform, Agentforce, using Convergence's technologies.

[algoworks]

Is AgentExchange the next big thing for Salesforce users? Ravi Jain, Chief Delivery Officer, Salesforce & Analytics breaks it down and shares how top enterprises are using AI to lead the way.

[salesforceconsultingsol]

Salesforce Agentforce 2dx - Revolutionizing Business Operations

[sunilkhuwal]

Platform Developer I Certification Maintenance Winter 25

For the Platform Developer I Certification Maintenance (Winter ’25), you have a requirement to use the iterables Here we are requested to Create a Class named “MyIterable” and we also need to create a Test class “MyIterableTest” As part of the “MyIterable” class we need to do following things: Create a Constructor that is accepting the List<String> type of data Create a method that has return…

[ritikay]

Supercharge Salesforce CRM with AI-Powered Automation Using Agentforce

In the fast-paced world of customer relationship management, businesses using Salesforce CRM must continually find ways to streamline operations, enhance customer experiences, and improve response times. That’s where Agentforce, a cutting-edge AI agent framework, makes its mark—bringing smart automation directly into your Salesforce environment.

This blog explores how Agentforce integrates with Salesforce, tapping into both standard and custom objects within the Salesforce data model. From automating support cases to enriching lead profiles and triggering contextual workflows, Agentforce transforms AI agents into intelligent digital teammates that act on real-time CRM data.

You'll gain a deep understanding of:

Salesforce data models and how Agentforce uses them via the Salesforce API

The complete integration setup, including OAuth credentials, connected apps, and data mapping

Step-by-step instructions for setting up the connection, testing API calls, and mapping objects and fields

Real-world use cases where Agentforce improves productivity—such as AI-powered lead routing, ticket prioritization, and automated sales alerts

The blog also covers best practices to keep your integration secure and efficient:

Applying role-based access controls

Ensuring data encryption

Maintaining logs and audit trails

Writing clear prompts for better AI outputs

Iterating and improving based on business needs

Common integration pitfalls—like token expiration, permission issues, or faulty API calls—are addressed with quick troubleshooting tips, ensuring a smooth experience as you scale.

With Agentforce and Salesforce working in harmony, your business can reduce manual tasks, accelerate decision-making, and boost overall CRM performance.

[techtalentconsultant]

Explore how AI agents revolutionize personalized marketing campaigns, enhancing customer journeys with data-driven insights and tailored experiences for better engagement.

[familythings]

Microsoft Empowers Customers to Build AI Agents for Routine Tasks

Microsoft is gearing up to let its customers create their own AI agents next month, and it’s a big deal! This is a total game changer from the usual chatbots. These new agents will need very little human help, which means businesses can breeze through their usual tasks a lot faster. What Are Autonomous AI Agents? Unlike basic chatbots that just answer specific questions, these cool autonomous…

[getoncrm]

Leverage AI agents with Salesforce Agentforce to automate customer interactions, enhance response times, and provide intelligent, context-aware support for superior service experiences.

[tzifron]

I’ve been rereading the late anthropologist David Graeber’s Bullshit Jobs, which persuasively makes the case that the corporate world is happy to nurture inefficient or wasteful jobs if they somehow serve the managerial class or flatter elites—while encouraging the public to harbor animosity at those who do rewarding work or work that clearly benefits society. I think we can expect AI to accelerate this phenomenon, and to help generate echelons of new dubious jobs—prompt engineers, product marketers, etc—as it erodes conditions for artists and public servants.

A common refrain about modern AI is that it was supposed to automate the dull jobs so we could all be more creative, but instead, it’s being used to automate the creative jobs. That’s a pretty good articulation of what lies at the heart of the AI jobs crisis. Take the former Duolingo worker who was laid off as part of the company’s pivot to AI.

“So much will be lost,” the writer told me. “I was a content writer, I wrote the questions that learners see in the lessons. I enjoyed being able be creative. We were encouraged to make the exercises fun.” Now, consider what it’s being replace with, per the worker:

“First, the AI output is very boring. And Duolingo was always known for being fun and quirky. Second, it absolutely makes mistakes. Even on things that you would think it could get right. The AI tools that are available for people who pay for Duolingo Max often get things wrong—they have an ‘explain my mistake’ tool that often will suggest something that’s incorrect, sometimes the robot voices are programmed to speak the wrong language.”

This is just a snapshot, too. This is happening, to varying degrees, to artists, journalists, writers, designers, coders—and soon, perhaps already, as Thompson’s story points out, it could be happening to even more jobs and lines of work.

Now, it needs to be underlined once again that generative AI is not yet the one-size-fits-all agent of job replacement its salesmen would like it to be—far from it. A recent SalesForce survey reported on by the Information show that only one-fifth of enterprise AI buyers are seeing good results, and that 61% of respondents report a disappointing return on investment for AI or even none at all.

Generative AI is still best at select tasks that do not require consistent reliability—hence its purveyors taking aim at art and creative industries. But all that’s secondary. The rise of generative AI, linked as it is with the ascent to power of the American tech oligarchy, has given rise to a jobs crisis nonetheless.

We’re left at a crossroads where we must consider nothing less than what kind of jobs we want people to be able to do, what kind of work and which institutions we think are important as a society, and what we’re willing to do to protect them—before the logic of generative AI and the jobs crisis it has begotten guts them to the bone, or devours them altogether.

[reddragdiva]

Salesforce: AI agents don’t work — but we’re charging 6% more for AI anyway

https://pivot-to-ai.com/2025/06/18/salesforce-ai-agents-dont-work-but-were-charging-6-more-for-ai-anyway/ - text