Salesforce has launched AgentExchange, a marketplace and community built directly into its platform to accelerate enterprise AI agent adoption. The marketplace debuts with over 200 partners, including Google Cloud, DocuSign, Box, and Workday, offering hundreds of pre-built AI components that have passed rigorous security reviews and customer validation.
The launch represents a strategic expansion of Salesforce's digital labour platform, Agentforce, by creating an ecosystem modelled after the company's successful AppExchange marketplace, which has achieved more than 13 million app installs since its 2005 debut. By enabling partners to monetise AI components, Salesforce aims to lower implementation barriers while addressing the growing enterprise demand for business-ready AI solutions.
The marketplace addresses a significant bottleneck in enterprise AI adoption—the time and expertise required to build specialised agent capabilities from scratch. AgentExchange offers four types of reusable components: actions (specific integrations), prompt templates (pre-written, reusable prompts), topics (focused agent behaviours), and agent templates (comprehensive solutions combining multiple capabilities).
Brian Landsman, EVP & GM of Global Business Development & Partnerships at Salesforce, emphasised the economic opportunity: "When we launched AppExchange in 2005, it helped our customers get even more value from our platform with prebuilt apps, workflows, and integrations. It also gave our partners an opportunity to participate in the emerging cloud economy and build thriving businesses. With AgentExchange, we're doing much the same—opening up Agentforce for partners, startups, and Agentblazers to participate in the digital labour market and build agentic AI on Salesforce."
The platform enables partners to extend their services directly into AI workflows. For example, Google Cloud's integration allows Agentforce to be grounded in Google Search via Vertex AI, providing access to current data and news. Box enables agents to extract insights from unstructured content, while DocuSign automates agreement generation, routing, and tracking.
"AgentExchange unlocks new technology and markets for DocuSign, expanding our reach and impact," said Larry Jin, VP Product Management at DocuSign. "We've worked closely with Salesforce to develop agent actions to seamlessly integrate them into our customers' workflows. Our sales and service customers will now be able to leverage Agentforce and DocuSign to automate common agreement-related tasks without the complexity of developing their own proprietary agentic technology."
The platform makes discovery and implementation straightforward by allowing enterprises to explore solutions directly within the marketplace or through Salesforce's Agent Builder tool. Organisations can rapidly identify industry-specific or function-specific solutions, reducing the need for specialised in-house AI expertise.
Alice Steinglass, EVP & GM of Platform, Integration and Automation at Salesforce, highlighted the strategic importance: "AgentExchange empowers customers to seamlessly integrate trusted AI solutions within their workflow. Now our developer community can directly tap the expertise of our partner ecosystem to get the right industry-specific solutions so they can build and implement AI agents, and be the pioneers turning their businesses into Agentforce companies."
Partner solutions span multiple enterprise domains including sales and service (Highspot, Neuron 7, Seismic), finance and operations (Asymbl, Bullhorn, Certinia), productivity (Box, Copado, TaskRay), and industry-specific solutions for healthcare, manufacturing, retail, hospitality, and education. Each solution undergoes security validation before being listed.
AgentExchange fundamentally changes the economics of enterprise AI adoption by transforming build-versus-buy decisions. Organisations can now access pre-validated, specialised AI components without extensive internal development resources. This marketplace approach enables faster experimentation, reduced implementation risks, and significantly lower costs compared to custom development. By standardising components, enterprises also gain improved governance and consistency across AI deployments.