Details
- Salesforce and AWS announced an expanded collaboration in September 2026 to embed AI agents and Salesforce business context directly into Amazon Quick, Slack, and Amazon Connect Customer without requiring data migrations.
- The integrations involve Salesforce Agentforce, Agentforce Voice, Amazon Quick, Amazon Bedrock, AWS frontier agents (including DevOps, Security, FinOps, and Partner Central), Slack, Salesforce Data 360, Informatica, and AWS data services such as Aurora, RDS, S3-backed Apache Iceberg, Glue-managed Iceberg, and SageMaker Lakehouse.
- Key updates include native Salesforce CRM context and skills inside Amazon Quick via a headless, MCP-based architecture, AWS frontier agents working conversationally within Slack channels, expanded Agentforce access to Amazon Bedrock foundation models from Anthropic and NVIDIA (with OpenAI support coming), and real-time Agent2Agent voice orchestration between Agentforce Voice and Amazon Connect Customer over WebSockets.
- On the data side, Salesforce Data 360 zero-copy access is extended to more AWS data stores, while Informatica MCP servers and headless capabilities expose administration, catalog, data quality, and master-data functions to Amazon Bedrock AgentCore and Amazon Quick, enabling AI agents to operate on governed, clean enterprise data across both clouds.
- Availability timelines span now through Fall 2026: Amazon Quick with Salesforce’s headless architecture, Agentforce model choice on Amazon Bedrock, Data 360 zero copy expansion, Informatica headless integrations, and Trainium-optimized voice dictation in Slack are available immediately, while additional AWS frontier agents in Slack and Agentforce Voice multi-agent orchestration with A2A support are slated for Fall 2026; Salesforce Clouds are purchasable via AWS Marketplace in 33 countries, allowing customers to apply AWS commitments to Agentforce and related products.
Impact
By tightly coupling Salesforce’s CRM context and zero-copy data access with AWS’s model ecosystem and collaboration tools, this partnership accelerates the shift toward agentic enterprises that run AI inside existing workflows rather than standalone pilots. Over the next 12–24 months, these integrations are likely to influence R&D and buying decisions around multi-cloud data governance, real-time AI assistants in team tools, and voice-based customer service, reinforcing AWS–Salesforce as a default stack for enterprise AI deployment.
