New integrations bring Salesforce data, context, and actions into Amazon Quick, AWS agents into Slack, and Agent2Agent (A2A) support for real-time, bidirectional voice between Agentforce Voice and Amazon Connect Customer — putting AI where customers work, grounded in data they trust, without requiring migrations.
Amazon Web Services (AWS) and Salesforce today announced an expanded collaboration to help enterprises close deals, resolve customer issues, and move faster with AI.
The expanded collaboration comes as AI influences not only what enterprises build but also how and where their teams work. Three dynamics are shaping adoption: the demand for AI that can act on CRM intelligence wherever employees work – not just inside the CRM itself; the challenge of connecting siloed data across cloud environments without requiring data migration; and the opportunity to make data deliver more value by extending AI agents into new modalities like real-time voice and team collaboration.
“Salesforce’s business context creates value everywhere our customers work. Trusted data now reaches into the surfaces teams rely on daily, and our collaboration with AWS extends that reach even further, all with governance built in every step of the way. The further that context reaches, the more valuable it becomes. That’s what turns AI from a feature in one app into how enterprises actually get work done,” said Nick Johnston, EVP, Global Partnerships, Salesforce,
Today’s announcements deliver new integrations to address these dynamics and make it easier for teams to work across AWS and Salesforce within established workflows: Salesforce business context can be surfaced directly in Amazon Quick, AWS frontier agents are coming to Slack, Zero Copy expands to more AWS data services, Agentforce customers gain access to Amazon Bedrock’s broad selection of frontier models, and Agentforce Voice interoperates with Amazon Connect Customer in real-time. With these integrations, a sales team will be able to prep for a meeting in Amazon Quick with live CRM data, a service agent can route a customer issue across Agentforce and Connect Customer seamlessly, and an ops team can query data across both environments.
“The companies moving fastest and delivering differentiation with AI are the ones building on their own data, with the applications and cloud infrastructure they already trust. That’s why removing the friction between environments matters.
“These new integrations with Salesforce give customers data access without migration, model choice at the right economics, and AI agents where their people already work. When enterprises can do all of that seamlessly, AI becomes how they actually operate and drive business outcomes, not just something they’re piloting,” said Rahul Pathak, VP, Data and AI GTM, AWS.
“We are excited to work with AWS and Salesforce to help shape this experience. The value we’re seeing from the AWS DevOps Agent and Slack integration is not just in triggering investigations, but in creating a shared workspace where engineers can collectively direct, refine, and act on the results. Having those capabilities embedded in an environment our teams use every day has the potential to streamline how incidents are understood and resolved,” said Giriraj Jain, VP of Engineering Services, Quicken Inc.
Access Enterprise Data Without Migration or Duplication
AI agents are only as useful as the data they can access. The expanded integrations extend zero-copy data access across Salesforce and AWS, helping enterprises ground agents in real enterprise data without migrating or duplicating it—or changing the security and governance controls already established in either environment.
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Salesforce Data 360 Zero Copy Expansion: Zero Copy now extends to AWS Glue-managed Apache Iceberg tables, S3-backed Apache Iceberg tables, Amazon Aurora, Amazon RDS, and SageMaker Lakehouse. These capabilities build on existing support for Amazon Redshift and Amazon S3 with Private Connectivity. Joint customers can use this native access to ground AI agents in enterprise data while maintaining governance and avoiding data movement. Salesforce and AWS are also exploring bidirectional semantic-information sharing with AWS Glue Data Catalog, laying the foundation for more connected data and AI experiences, so teams get more accurate, context-rich AI without the cost and complexity of data migration.
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Informatica Headless Expansion for Amazon Bedrock AgentCore & Amazon Quick: Informatica is expanding the general availability of its MCP servers to support critical enterprise use cases. Its headless capabilities now include Informatica platform administration, catalog discovery and enrichment, data-quality scores, and master-data retrieval. These MCP integrations are accessible from Amazon Bedrock AgentCore and Amazon Quick, helping enterprises deploy AI agents grounded in data that is clean, discoverable, trusted, and governed.
Enable Richer, Real-time Voice Orchestration
Customer calls and team conversations are where some of the highest-value work happens. New integrations bring AI into voice interactions, with real-time access to data and context, cross-environment agents, and natural ways to capture and act on information.
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Agentforce Voice with Amazon Connect Customer: Salesforce and AWS are introducing a new approach for secure communication between AI agents across voice platforms. With Agent2Agent (A2A) support, Agentforce Voice and Amazon Connect Customer will communicate directly through real-time, bidirectional audio over WebSockets. This gives customers greater choice and enables AI agents to coordinate more seamlessly across the two solutions.
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Dictation for Slack, Built with AWS Trainium: Salesforce AI Research worked with AWS to optimize Salesforce’s proprietary speech models on AWS Trainium chips, enabling ultra-low-latency voice dictation in Slack. Customers can capture and share ideas by voice with near-instant transcription without leaving a Slack thread. By optimizing the models on purpose-built AWS silicon, Salesforce can deliver the capability at a lower inference cost, with the benefit passed on to customers.
Strengthening a decade-long collaboration
Today’s announcements build on a decade-long collaboration between Salesforce and AWS to give customers flexibility and choice in the models they use, the data sources they connect, and the workflows they automate, without forcing a tradeoff between speed and trust.
For customers, our shared vision for effortless procurement means the tools to power an agentic enterprise are now just as easy to buy as they are to build. With Salesforce Clouds now available in AWS Marketplace across 33 countries, customers can apply eligible AWS spend commitments toward Salesforce products, including Agentforce, consolidate procurement and billing, and move faster from decision to deployment. Organizations of every size and across industries are already using this streamlined path to make their technology spend work harder and get more from their AWS and Salesforce investments.
Availability:
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Amazon Quick with Salesforce’s headless architecture: Available Now
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AWS Frontier Agents in Slack: DevOps Agent Available Now, Other Agents Available Fall 2026
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Agentforce Model Choice through Amazon Bedrock: Available Now and more coming soon
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Data 360 Zero Copy Expansion: Available Now
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Informatica Headless Expansion: Available Now
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Agentforce Voice with Amazon Connect Customer – Multi-agent Orchestration with Agent2Agent (A2A) Support: Fall 2026
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Voice Dictations for Slack Built with AWS Trainium: Available Now
Pricing and packaging are subject to change. Availability may vary by region and is governed by customer agreements. Customers should base purchasing decisions on products and services currently available.
