Integrating Agentic Stacks into Slack: Enterprise AI Orchestration

Pack your agentic stack in Slack

Slack CPO Jaime DeLanghe is leading the effort to integrate third-party AI agents directly into the chat application. This initiative focuses on utilizing enterprise chat context to facilitate agent-to-agent communication.

Why This Matters

The technical reality of enterprise AI requires moving beyond isolated bots toward an ‘agentic stack’ that can leverage existing organizational context. Without a standardized protocol for inter-agent communication—such as using Direct Messages (DMs) as a transport layer—integrations remain fragmented, increasing the overhead for developers attempting to orchestrate multi-agent workflows within a corporate ecosystem.

Key Insights

• Integration of AI agents discussed by Jaime DeLanghe, 2026
• Agent-to-agent protocol implementation using DMs as the primary communication channel
• Utilization of enterprise chat data to provide necessary context for agentic operations

Practical Applications

• Use case: Third-party agents integrated into Slack for automated workflow orchestration.

Pitfall: Treating agents as simple bots without leveraging enterprise context, resulting in reduced utility.

References:

• https://stackoverflow.blog/2026/05/20/pack-your-agentic-stack-in-slack/