How Slack and AWS Are Powering an Agent-First Future | Amazon Web Services
What does an agent-first future look like in daily work? This video shows how Agentforce and Slack's native AI work together to boost team productivity. Powered by Amazon SageMaker and Amazon Bedrock, Slack gives teams secure access to top-tier large language models, so they can pick the best one for each task. Watch the video to see how AWS helps Slack move fast and stay secure.
What is Agentforce and how does it work with Slack?
Agentforce is a Salesforce offering designed to help businesses move toward an agent-first way of working, where AI agents and human teams collaborate to get work done more efficiently.
When combined with Slack native AI, Agentforce helps teams:
- Maximize productivity by automating routine tasks and surfacing relevant information directly in Slack.
- Keep work in one place so agents, managers, and stakeholders can coordinate in real time without switching tools.
- Use AI in context, right inside the Slack experience, instead of relying on separate AI apps or interfaces.
Together, Agentforce and Slack native AI help businesses reimagine how agents support customers and internal teams, using AI as a built-in capability rather than an add-on.
How does AWS power Slack’s AI capabilities?
Slack partners with Amazon Web Services (AWS) to power its AI features, using services such as Amazon SageMaker and Amazon Bedrock.
In practice, this means:
- Model choice and flexibility: Customers can access top-tier large language models through Amazon Bedrock and select the model that best fits each use case, all while staying inside the Slack experience.
- Managed ML infrastructure: Amazon SageMaker provides the underlying machine learning infrastructure, so Slack can train, tune, and deploy AI capabilities at scale.
- Security and trust: By building on AWS, Slack benefits from AWS’s security controls and practices, helping ensure secure, trusted access to AI models and data.
This AWS foundation allows Slack to move fast, stay secure, and deliver intelligent tools that help businesses thrive in the AI era.
Why are companies choosing AWS for AI and cloud?
Organizations choose Amazon Web Services (AWS) because it is described as the world’s most comprehensive and broadly adopted cloud, used by:
- Millions of customers, including fast-growing startups, large enterprises, and government agencies.
For AI-driven solutions such as Slack native AI and Agentforce, AWS helps companies:
- Be more agile: Quickly experiment, launch, and scale AI features using services like Amazon SageMaker and Amazon Bedrock.
- Lower costs: Pay-as-you-go cloud infrastructure can reduce the need for large upfront hardware investments.
- Innovate faster: Access to a broad portfolio of cloud and AI services lets teams reimagine workflows and bring new capabilities to market more quickly.
By building on AWS, businesses can focus on creating value with AI—rather than managing complex infrastructure—while relying on a platform that is already proven across a wide range of industries and use cases.
How Slack and AWS Are Powering an Agent-First Future | Amazon Web Services
published by UPCONNECT LABS LLP
Upconnect Labs is a leading IT Managed Service Providers & IT hardware system integrator dedicated to providing comprehensive technology solutions to businesses of all sizes. With a focus on innovation, reliability, and customer satisfaction, we specialise in designing, implementing, and supporting customised IT infrastructure tailored to meet the unique needs of our clients.
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