Every company is racing to turn AI into realbusiness results. But the hardest part is no longer getting AI to answer a question. It’s gettingAI to do the work that matters across every business function. Over the past two years, Salesforce has worked alongside customers across thousands ofagentic deployments and delivered 7 billion Agentic Work Units (AWUs) across Agentforceand Slack, including 3.2 billion in Q2 alone. That experience has made one thing clear: putting
1/6 agents to work requires more than intelligence. Agents need to understand the job, workacross the business, and keep moving toward a goal as the work gets more complex. Today, Salesforce is introducing a new portfolio of job-ready agents built to take on high-valuework across sales, service, commerce, employee experience, and the back office. Connectedto Customer 360, these agents can work with the customer context and business processescompanies already have in Salesforce. These agents come ready for the job and are poweredby new Agentforce technology that enables them to pursue goals over time, learn new skills,work with other agents, and continuously improve.
Start with agents built for the job
Instead of building every agent from scratch, companies can now start with agents designedaround the jobs where AI can have an immediate business impact. Each comes with theskills, actions, and data models required for the job, and can be tailored to how each companyworks.
Casey, your help agent, resolves customer service issues across voice, SMS,WhatsApp, and web chat, with pre-built support for FAQs, returns, account management,human escalation, and more. GA now.
Paige, your IT & HR service agent, resolves requests across Slack, portals, and thetools employees already use. GA now.
Carter, your shopper agent, helps shoppers discover and compare products, getquestions answered, and convert with in-chat checkout. GA now.
Hunter, your outbound sales agent, works a sales pipeline from research to outreach,collaborating with sellers over weeks and months. Pilot now; GA November ’26.
Marshall, your supply chain agent, orchestrates end-to-end back-office processes,automates manual work with deterministic execution, and provides an audit record ofevery action. GA now.
Piper, your inbound pipe gen agent, works across websites and inboxes to engage,qualify, and convert inbound leads into pipeline for B2B sales and marketing teams. GAnow.
Fin, your customer agent, resolves complex customer experience workflows acrossevery channel. Powered by Operator, a customer operations agent, and Fin Apex, a setof custom models trained for customer experience, Fin enables CX teams to deployquickly and continuously optimize performance. GA now.
Customers can tailor each agent to their business — including giving it their own name — sothe agent becomes an extension of their brand and workforce.
Every agent operates within the customer’s business rules, permissions, and security. WithAgent Script, Salesforce’s open-source language for agent behavior, customers can alsocombine AI reasoning with deterministic rules for granular control over how agents makedecisions and take action.
And these agents are already delivering measurable results:
- 50% of Engine’s chat inquiries are fully resolved by its help agent, Eva.
- 60% of Perk’s sales pipeline is built by its outbound sales agent, Hunter.
- 70% of Autism Queensland’s administrative requests are resolved by its employeeservice agent, Paige.
- 90% of core shopper journeys are handled by Hibbett AI, which went live in six weeks.
- 4x the conversation volume is now driven by Asana’s website agent, Piper. Customersdeploy Piper in 45 days on average.
- 79% of Anthropic’s conversations that Fin sees are resolved autonomously.
Take on work that spans days and weeks
Some of the most valuable work in a business can’t be completed in a single conversation. Aseller doesn’t just research an account once. Winning an opportunity can require weeks ofoutreach, new information, changing priorities, and decisions along the way.
That’s why Salesforce built a new long-horizon runtime for Agentforce, enabling agents topursue goals across days and weeks instead of completing only a task or interaction.
With the new runtime, a seller might ask Hunter to rescue their at-risk deals before the end ofthe quarter. Hunter can turn that objective into a measurable goal, build a plan, and beginworking toward it — determining the tasks to complete, the tools and context required, andthe guardrails that define when it can act autonomously and when seller approval is required.
As the work unfolds, Hunter can incorporate new information and adjust the plan whilekeeping the seller in control. Underneath, three capabilities make that possible:
- Memory preserves context and progress across sessions, so work doesn’t stop when theinteraction ends.
- Durable execution keeps plans running over time and allows an agent to resume orcourse-correct as circumstances change.
- Dynamic steering adapts an agent’s behavior based on an individual user’s feedbackand direction.
Hunter is the first agent to run on the long-horizon runtime. Over time, more agents across theportfolio will run on it, and customers will be able to build long-horizon agents of their own withAgentforce.
