Ramp created an internal AI tool that acts as a wrapper around an LLM. It's connected to Notion, Slack, and Snowflake, building a persistent memory of team activities and individual work styles. This "company brain" can diagnose business issues, summarize communications, and draft meeting prep in minutes, not weeks.

Snap deployed an AI agent, Casper, that acts as a team member within tools like Slack and Jira. It listens to conversations, understands context from the entire company knowledge base and codebase, and can be invoked with a simple command to build a working prototype.

Shopify built an AI agent named River that works exclusively in public Slack channels, never in DMs. This forces collaboration into the open, allowing 6,000 employees to watch and learn from each other's interactions with the AI, accelerating company-wide adoption and skill development.

By granting an AI agent read-access to all company data streams—Slack, Notion, Google Docs, email—you can create a centralized oracle. This agent can answer any question about project status or client communication, instantly removing communication friction and breaking down departmental silos.

Sierra created a single server that aggregates all its internal systems (Slack, documents, etc.). This allows their internal agent, Pinecone, to access company-wide information and perform complex tasks, effectively giving every employee a powerful, context-aware assistant with 'superpowers'.

By building internal AI agents directly into Slack, their usage becomes public and visible. This visibility is key for driving adoption; seeing a bot turn a message into a PR creates a "holy shit" moment that sparks curiosity and makes others want to use the tool, creating a natural viral effect.

Every employee gets a personal AI agent in Slack called 'Alt Spooner.' The agent inherits the employee's system permissions, enabling it to perform complex, integrated tasks like debugging code, analyzing data, and checking customer support tickets automatically.

Top engineers and designers waste significant time on coordination tasks like updating project management tools and attending stand-ups. Owner built an internal agent that listens to GitHub, Slack, and meetings to automate this alignment work, freeing up talent to focus on building.

To maximize an AI agent's effectiveness, treat it like a team member, not just a tool. Integrate it directly into your company's communication and project management systems (like Slack). This ensures the agent has the full context necessary to perform its tasks.