Salesforce Hunter Agentic Outbound Sales Agent Launches for Sales Cloud

Salesforce introduced Hunter, an AI-powered outbound sales agent for Sales Cloud, on September 11, 2026, ahead of Dreamforce 2026 in San Francisco. The agent forms part of the seven named job-ready Agentforce agents and targets prospecting, research, personalized outreach, opportunity progression, proposals and forecasting in a single long-running workflow.

Salesforce Hunter features and long-horizon runtime

Hunter operates on Salesforce’s new long-horizon runtime that supplies memory across sessions, durable execution and dynamic steering. This architecture lets the agent pursue defined goals over days or weeks instead of completing isolated tasks in single conversations. Existing Sales Cloud and Agentforce customers can deploy Hunter without data migration or new infrastructure.

Human sales representatives retain approval rights for all customer-facing actions. The agent works inside the permission sets and business rules already configured in the customer’s Salesforce instance. It pairs with the inbound agent Piper to cover both sides of the sales process.

Pilot data reported by Salesforce shows one quarter of activity generated an estimated $500 million in pipeline. Customer Perk stated that Hunter contributed roughly 60 percent of its sales pipeline during the same period. These figures come from vendor statements and have not been independently audited.

Data partnerships and availability timeline

Launch partners announced around Dreamforce and on October 15, 2026, include ZoomInfo, Demandbase and Apollo. ZoomInfo supplies data on more than 100 million companies and 500 million contacts plus intent signals. Demandbase provides engagement, buying-group and intent data without requiring an additional contract. Apollo contributes 240 million contacts and prospecting tools.

As of mid-October 2026 Hunter remains in pilot. General availability is scheduled for November 2026. The release continues Salesforce’s Agentforce initiative aimed at embedding autonomous agents across enterprise workflows while keeping final decision authority with users.

Market context for agentic sales tools

Agentic sales agents differ from earlier chat-based assistants by maintaining state across multiple days and adapting plans without constant human prompting. Salesforce positions Hunter as a direct response to this shift, embedding the agent inside the existing Sales Cloud data model rather than requiring a separate platform. Industry observers note that similar capabilities are appearing from other CRM vendors, increasing competitive pressure on data quality and runtime reliability.

Early adopters report that the largest gains come from consistent execution of research and follow-up sequences that previously depended on individual rep discipline. The requirement for human approval on outreach messages and proposals remains a core control point that limits risk while the technology matures.