Your company’s website is often where prospective customers begin evaluating products and services. Some visitors are researching possible solutions, while others may already be comparing vendors and preparing to make a purchasing decision. Engaging those visitors while they’re actively exploring a website can create opportunities that might otherwise be missed if follow-up doesn’t occur until later.

Salesforce Qualified is a pipeline generation platform designed to engage prospective customers during those early interactions. At the center of the platform is Piper, an AI-powered Sales Development Representative (SDR) that communicates with website visitors, answers questions, qualifies prospects, and schedules meetings with sales representatives.

Rather than waiting for someone to submit a form and receive a response hours or days later, Qualified allows organizations to begin conversations while visitors are still engaged with the website.

For example, a prospective customer researching a product after business hours may have questions before deciding whether to contact sales. Instead of leaving the website without taking the next step, Piper can begin a conversation, provide information using approved company content, recommend additional resources, and, when appropriate, schedule a meeting with the correct sales representative before the visitor leaves the site.

When organizations need new software, they don’t always have the option to build it themselves. Many start by looking for an existing solution that already meets their needs. For years, Salesforce customers have done exactly that through AppExchange. Now Salesforce is incorporating AI into the same idea with AgentExchange.

AgentExchange is Salesforce’s marketplace for AI agents, agent actions, templates, and partner solutions built for the Salesforce ecosystem. It also brings together AppExchange, Slack Marketplace, and Agentforce resources into a single experience, making it easier to discover solutions without searching across multiple platforms.

For organizations exploring Agentforce, AgentExchange provides another way to get started by making proven AI solutions easier to find and evaluate.

Customer information rarely lives in one place. Meeting notes might be saved in one application, account history lives in Salesforce, and follow-up conversations continue in Slack. Before anyone can move work forward, someone often has to gather the pieces and make sure the team is working from the same information.

Slack and Agentforce help streamline that process by bringing CRM data, collaboration, and AI assistance into a shared workspace. Employees can access relevant Salesforce information, retrieve insights from connected business data, and complete supported tasks without constantly moving between applications.

With important information available where conversations are already happening, teams can coordinate more effectively, maintain better visibility into customer relationships, and spend less time searching for answers.

For years, using Salesforce meant opening a browser, logging in, and navigating screens to complete your work. Whether updating a customer record, reviewing a case, or approving a request, people interacted with Salesforce through its user interface.

Salesforce believes that model is beginning to change.

As AI agents become more capable of supporting employees and completing business tasks, they no longer need to rely on a traditional interface. They can securely access Salesforce through APIs and other platform services, allowing work to happen behind the scenes while employees continue working in the tools they already use.

That vision is the foundation of Salesforce Headless 360.

Every organization has different ideas for how AI could improve daily work. The challenge isn’t always identifying the opportunity – it’s figuring out how to build an AI agent that can support it.

Salesforce designed Agentforce Builder to make that process more approachable. Teams can describe what they want an agent to accomplish using natural language, organize workflows through a visual interface, and extend functionality with code when more advanced customization is needed.

Because the platform supports multiple ways of building, administrators, business users, and developers can all contribute to the development process using the approach that best fits their role.

Approving a refund. Reviewing a grant application. Routing a customer support case.

Many business activities follow established rules that can’t simply be left to AI interpretation. While AI can understand requests and generate responses, organizations often need certain decisions, approvals, and workflows to follow consistent business logic.

That’s where Agent Script comes in.

Introduced as part of Salesforce Agentforce, Agent Script is the language behind every AI agent built in Agentforce Builder. It combines natural language instructions with structured business logic, giving organizations more control over how AI agents behave while preserving the flexibility that makes conversational AI so valuable.

Artificial intelligence can help organizations answer questions, automate repetitive work, and assist employees with everyday tasks. But for AI to produce useful results, it needs more than a powerful model. It also needs access to reliable information, connected business systems, and clear organizational policies.

Salesforce addresses this challenge through Agentic Enterprise Architecture. Rather than being a standalone product, it’s a framework that describes how enterprise technologies can work together to support AI agents. By emphasizing trusted data, connected applications, integrations, security, identity, and governance, the framework helps create an environment where AI can operate with the context needed to support real business activities.