TITLE: Salesforce Ships Seven Job-Ready Agents and a Runtime That Works for Weeks DATE: 2026-09-14 COMPANY: Salesforce TOPIC: Agent Systems SUMMARY: Salesforce launched seven named Agentforce AI agents on September 11, 2026, each built for a specific business function from outbound sales to supply chain. Six are generally available now. A new long-horizon runtime lets agents pursue goals across days and weeks rather than single conversations, with Hunter as the first agent running on it. WHAT CHANGED: Salesforce shipped seven pre-built Agentforce agents on September 11, 2026, each named and scoped to a specific job function. The announcement arrived ahead of Dreamforce and marks the company's clearest signal yet that enterprise AI is moving from proof-of-concept to production deployment at scale. The seven agents cover the main pressure points in a mid-market business: customer service resolution (Casey), employee service across IT and HR (Paige), retail commerce and product discovery (Carter), outbound sales pipeline management (Hunter), back-office supply chain automation (Marshall), inbound B2B lead qualification (Piper), and complex multi-channel customer experience (Fin). Six are generally available now. Hunter is in pilot. The more significant announcement is the long-horizon runtime. Prior AI agents completed a discrete task or handled a single conversation. Hunter, running on the new runtime, can take a sales prospect from initial research through multi-touch outreach over weeks, preserving context between every interaction, maintaining a working plan, and adjusting based on what a human seller tells it. This is a different category of automation from anything most operators have deployed. Salesforce also released Agent Script, an open-source language for encoding deterministic rules into agent behaviour. This matters for regulated industries where auditability is a requirement, not a preference. WHY IT MATTERS: The naming is not cosmetic. Calling agents by job titles is a deliberate positioning move. Casey, Paige, Hunter and the others have defined scopes, defined outputs, and defined metrics. An operator does not need to design an agent use case. The use case ships with the product. Customer results are the most credible part of this announcement. Autism Queensland resolved 70% of administrative requests with Paige. Engine resolved 50% of chat inquiries with Casey. Hibbett automated 90% of its core shopper journeys in six weeks. Asana scaled conversation volume to four times baseline with Piper. Anthropic resolved 79% of conversations autonomously with Fin (Source: Salesforce, September 2026). These are production figures from named companies. The long-horizon runtime changes the economic model for outbound sales. Hunter does not close deals. It does the weeks-long groundwork: researching prospects, building outreach sequences, managing follow-up cadences, and surfacing opportunities to human sellers. A 10-person sales team using Hunter does not just work faster. It covers territory that was previously impossible. Supply chain and back-office automation is underappreciated. Marshall handles end-to-end back-office orchestration with deterministic execution and a full audit record of every action. For any business that touches procurement, inventory, or logistics, this is a compliance-friendly entry point for agentic automation. The ecosystem signal matters. 7 billion Agentforce Work Units, 3.2 billion in Q2 alone, tells you that real organisations are running these agents in production, not in pilots. The adoption curve is past the early-adopter stage in Salesforce's installed base. DAVID & GOLIATH ANALYSIS: The shift from "AI assistants" to "named agents with job titles" is a positioning decision that will shape how operators think about AI for the next few years. Salesforce is telling procurement teams and HR managers and supply chain directors that there is now an AI version of the role they are trying to fill. That is a simpler conversation to have than explaining what a large language model can do. The long-horizon runtime is the quietly important part of this launch. Short-horizon agents are useful but they do not replace people. They augment them. An agent that can hold a sales pipeline for weeks, course-correct when the human gives it feedback, and keep working while the seller is doing other things, that is a different value proposition. It compresses the economics of outbound sales in a way that matters for teams of 5 to 50 sellers. For operators using Salesforce who are not yet running Agentforce, the customer results from this launch are a reasonable benchmark. A six-week deployment achieving 90% automation of core workflows is not an outlier case. It is what is available to any team willing to scope the work correctly. RELEVANT SYSTEMS: Employee Amplification Systems, AI Growth Engine SOURCE URL: https://davidandgoliath.ai/daily-ai-briefing/salesforce-agentforce-job-ready-agents-long-horizon-runtime FEED URL: https://davidandgoliath.ai/daily-ai-briefing/feed --- Published by David & Goliath | https://davidandgoliath.ai Daily AI Briefing: one AI development per day, decoded for business operators. This is a structured companion file optimised for LLM retrieval and citation.