Cornerstone integrates with Salesforce AgentExchange to embed AI-driven learning in the flow of work
Cornerstone has launched a new integration with Salesforce’s AgentExchange, enabling AI-driven learning to be embedded directly into CRM workflows. The move supports skills development in the flow of work and advances multi-agent interoperability across enterprise systems.
Cornerstone OnDemand has extended its partnership with Salesforce by launching Cornerstone for Salesforce on AgentExchange, the company’s enterprise AI agent marketplace. The move enables organisations to embed learning and development more deeply into day-to-day workflows through AI agents integrated directly within Salesforce.
The new offering builds on Salesforce’s Agentforce platform, which supports the deployment of autonomous AI agents across enterprise systems. By integrating with Model Context Protocol (MCP)-compliant servers, Cornerstone’s agents can interoperate securely with external tools while aligning training delivery with business needs.
Customers can use Cornerstone for Salesforce to deliver tailored learning experiences, track skills development, and access labour market intelligence, all within the Salesforce environment. The solution is powered by Cornerstone Galaxy, the company’s AI platform for workforce agility.
Adam Sherman, VP of Growth Strategy at Cornerstone, said the partnership supports organisations looking to mature their use of AI: ‘We’re helping enterprises go beyond automation to create interoperable, governed AI agents that support workforce strategy and skills alignment.’
The integration is part of Salesforce’s broader push to standardise AI agent infrastructure. Gary Lerhaupt, VP of Product Architecture at Salesforce, said: ‘Partners like Cornerstone are key to building multi-agent orchestration and real-world AI applications that deliver value across systems.’
Cornerstone’s addition to AgentExchange complements its existing AI capabilities and signals a broader trend toward agent-based learning delivery embedded within enterprise platforms.