Activate an Always-On Digital Workforce with Agentforce
Learning Objectives
After completing this unit, you’ll be able to:
- Identify the job-ready Salesforce agents and the specific job each one is built to do.
- Explain how Agentforce puts agents to work safely, at scale.
- Describe the proof behind the Agentic Enterprise, in terms of scale, governance, and trust.
Your Digital Workforce Never Clocks Out
Imagine a workforce that is always on call—reasoning through problems, taking action, and getting sharper over time, all while staying inside the rules your business already runs by. That’s Agentforce: The platform where agents get built, put to work, and kept accountable, everywhere from sales to service to IT.
Agentforce is one of four connected layers that make up the Salesforce architecture—alongside Data 360, Customer 360, and AIforce. Each layer does a specific job, and Agentforce’s job is turning business logic and trusted data into governed, accountable action.
Each agent is built for a specific job—and works alongside the others when a task needs more than one skill.
- Fin, your customer service agent, resolves complex customer experience workflows across every channel.
- Piper, your sales agent, engages, qualifies, and converts inbound leads into pipeline.
- Hunter, your outbound sales agent, works a pipeline end to end, from research to outreach.
- Paige, your IT agent, resolves employee IT and HR requests across Slack, portals, and the tools people already use.
- Marshall, your supply chain agent, orchestrates back-office processes with a full audit trail.
- Carter, your shopper agent, helps shoppers discover, compare, and check out in a single conversation.
But Agentforce also helps you build custom agents. Beyond the job-ready agents you can deploy out of the box, Agentforce Builder gives your team a low-code way to define topics, configure actions, write instructions, and test conversations. So you can create an agent tailored to a workflow unique to your business, not just the ones that come prebuilt. It’s the same governed foundation as every job-ready agent, just shaped around the job you define.
That’s exactly what we walk through in this demo.
Why Trust Doesn’t Slow You Down
An agent that can act needs guardrails it can’t cross. That’s built into Agentforce from day one, not added after the fact—which is exactly why it can scale safely. Agents operate inside the same business process workflows people do, using the same steps, approvals, and handoffs, and the same accountability.
And the proof isn’t hypothetical—Salesforce runs its own business this way. Today, 300+ agents are deployed across Salesforce.
- Help Agent has handled 5 million service conversations on help.salesforce.com.
- Hunter and Piper together drive $484M in annualized sales pipeline.
- Agentforce Voice now handles 100% of North American calls on 1-800-NO-SOFTWARE.
That governance pays off in a way you can measure. According to The Trust Dividend, a joint report with The Atlantic, 75% of leaders whose AI agents are live in production say trust requirements actually speed up how fast they can expand agent autonomy. Trust enables speed, not the opposite. And the work compounds: 65% of trust-related work (permissions, escalation paths, oversight) is reusable for the next agent deployment, so the second, third, and tenth agent get faster to trust than the first.
Most agents today work alongside people inside shared workflows, not fully unsupervised, and that’s by design. As AI scales, people stay at the center of the work, not on the sidelines.