Agentforce gets new AI agents built for high-value work

- New job-ready agents help companies get to business outcomes faster

- Advances across Agentforce enable these agents to take on more complex work 

Every company is racing to turn AI into real business results. But the hardest part is no longer getting AI to answer a question. It’s getting AI to do the work that matters across every business function.

Over the past two years, Salesforce has worked alongside customers across thousands of agentic deployments and delivered 7 billion agentic work units (AWUs) across Agentforce and Slack, including 3.2 billion in Q226 alone. That experience has made one thing clear: putting agents to work requires more than intelligence. Agents need to understand the job, work across the business, and keep moving toward a goal as the work gets more complex. 

Salesforce has introduced a new portfolio of job-ready agents built to take on high-value work across sales, service, commerce, employee experience, and the back office. Connected to Customer 360, these agents can work with the customer context and business processes companies already have in Salesforce. These agents come ready for the job and are powered by new Agentforce technology that enables them to pursue goals over time, learn new skills, work with other agents, and continuously improve.  

Agents built for the job

Instead of building every agent from scratch, companies can now start with agents designed around the jobs where AI can have an immediate business impact. Each comes with the skills, actions, and data models required for the job, and can be tailored to how each company works.  

- Casey, your help agent, generally available now, resolves customer service issues across voice, SMS, WhatsApp, and web chat, with prebuilt support for FAQs, returns, account management, human escalation, and more. 

- Paige, your IT & HR service agent, also generally available, resolves requests across Slack, portals, and the tools employees already use. GA now. Carter, your shopper agent, helps shoppers discover and compare products, get questions answered, and convert with in-chat checkout. 

- Hunter, your outbound sales agent, works a sales pipeline from research to outreach, collaborating with sellers over weeks and months. Hunter is in the pilot phase now with general availability expected in November 2026. 

- Marshall, a supply chain agent, orchestrates end-to-end back-office processes, automates manual work with deterministic execution, and provides an audit record of every action. 

- 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. 

- Fin, your customer agent, resolves complex customer experience workflows across every channel. Powered by Operator, a customer operations agent, and Fin Apex, a set of custom models trained for customer experience, Fin enables customer experience (CX) teams to deploy quickly and continuously optimize performance. 

Marshall, Piper, and Fin are also generally available today.

Every agent operates within the customer’s business rules, permissions, and security. With Agent Script, Salesforce’s open-source language for agent behaviour, customers can also combine AI reasoning with deterministic rules for granular control over how agents make decisions and take action. Customers can tailor each agent to their business — including giving it their own name — so the agent becomes an extension of their brand and workforce.

These agents are already delivering results: 

- Half of business travel management platform Engine’s chat enquiries are fully resolved by its help agent, Eva.

- Sixty percent of Perk’s sales pipeline is built by its outbound sales agent, Hunter. Perk offers a corporate travel management platform.  

- Seven in 10 Autism Queensland administrative requests are resolved by its employee service agent, Paige. 

- Four times the conversation volume is now driven by Asana’s website agent, Piper. Customers deploy Piper in 45 days on average. 

- Close to eight in 10 (79%) of Anthropic’s conversations that Fin sees are resolved autonomously.

Salesforce has built a new long-horizon runtime for Agentforce, enabling agents to pursue goals across days and weeks instead of completing only a task or interaction. The company pointed out that winning an opportunity can require weeks of outreach, new information, changing priorities, and decisions along the way. 

With the new runtime, a seller might ask Hunter to rescue their at-risk deals before the end of the quarter. Hunter can turn that objective into a measurable goal, build a plan, and begin working toward it — determining the tasks to complete, the tools and context required, and the 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 while keeping the seller in control. Underneath, three capabilities make that possible: 

- Memory preserves context and progress across sessions, so work doesn’t stop when the interaction ends. 

- Durable execution keeps plans running over time and allows an agent to resume or course-correct as circumstances change. 

- Dynamic steering adapts an agent’s behaviour based on an individual user’s feedback and direction.

Hunter is the first agent to run on the long-horizon runtime. Over time, more agents across the portfolio will run on it, and customers will be able to build long-horizon agents of their own with Agentforce.