Mumbai, India, 25 March 2026: Slack today announced a major evolution of its platform, introducing new capabilities designed to enable businesses, developers, and partners to build powerful AI applications and agents grounded in real-time conversational context.
With the rise of agentic AI, Slack is positioning itself as a central hub where intelligent agents can securely access and act on the most valuable enterprise asset—team conversations. The latest updates, including the Real-Time Search (RTS) API and Model Context Protocol (MCP) server, allow AI tools to deliver highly contextual, accurate, and actionable outputs directly within workflows.
“AI agents are only as effective as the context they understand,” the company noted, highlighting that everyday workplace conversations hold critical insights, decisions, and institutional knowledge that have traditionally remained underutilised.
Unlocking the Power of Conversational Data
Slack’s enhanced platform enables organisations to harness unstructured conversational data securely, transforming it into actionable intelligence. By connecting AI agents to real-time discussions, files, and workflows, businesses can significantly improve productivity, decision-making, and collaboration.
Key benefits include:
- Smarter insights: AI agents can access relevant conversations and files to deliver personalised, context-aware responses
- Faster decisions: Integrated app data and Slack conversations enable quicker, more informed actions
- Higher productivity: Reduced context switching and streamlined workflows help teams focus on meaningful work
- Improved app adoption: Centralising tools within Slack increases utilisation across enterprise applications
- Enterprise-grade security: Robust privacy controls and permission-based access ensure data protection
Slack estimates that teams can save up to 97 minutes per week and achieve significantly faster decision-making and customer response times by leveraging contextual AI capabilities.
Powering a New Ecosystem of AI Agents
The new RTS API provides secure, real-time access to Slack’s conversational data without requiring bulk data storage, ensuring compliance with enterprise security standards. Meanwhile, the MCP server standardises how AI models, apps, and agents interact with Slack, simplifying development and enabling seamless integration across tools.
These innovations are already being adopted by leading technology companies, including OpenAI, Anthropic, Google, Perplexity, Notion, Dropbox, and others, to build next-generation AI-powered applications within Slack.
Expanding Developer Capabilities
Slack also introduced enhancements to its developer ecosystem, including:
- Slack Work Objects: Enabling richer, interactive previews of third-party data within Slack
- Enhanced developer toolkit: New resources, best practices, and tools to streamline AI app development
- Unified integration framework: Simplifying how developers build and deploy intelligent workflows
These updates aim to reduce complexity and accelerate the creation of custom AI agents tailored to specific business needs.
AI That Works Where Work Happens
By embedding AI directly into conversations, Slack eliminates the need for constant app switching—one of the biggest productivity drains in modern enterprises. With organisations often managing over 1,000 applications, Slack’s unified approach ensures AI becomes a seamless part of everyday workflows rather than a separate layer.
The platform already supports a growing range of AI-powered integrations, including ChatGPT, Claude, Google Agentspace, Perplexity, Dropbox Dash, and Notion AI, enabling users to search, analyse, and act on information without leaving Slack.
The Future of Work, Reimagined
As AI continues to evolve, Slack’s latest innovations aim to bridge the gap between human collaboration and machine intelligence. By combining secure data access, real-time context, and seamless integration, the platform is designed to make AI agents trusted collaborators in the workplace.
With these advancements, Slack is reinforcing its position as the foundation for intelligent, connected, and highly productive work environments in the agentic AI era.
