Runwork
All Use Cases

Team Collaboration

Your team's agents, one shared brain

Everyone on your team already has an AI agent: Claude, ChatGPT, Cursor, whatever they prefer. The problem is each one works in isolation: a great prompt stays on one laptop, the same integration gets connected five times, and what one person figures out never reaches anyone else. Runwork is the shared layer underneath all of them. Skills, data, and 3,200+ integrations connect once and every teammate's agent can use them, and you can hand an entire AI conversation to a colleague mid-thread.

Powered By

Skills
Share & Resume
Adoption & Training Team Dashboard
Integrations
AI Agents

The Challenge

  • Every teammate's AI starts from zero about the company, with the same context pasted over and over
  • A prompt or workflow one person perfects stays trapped on their machine
  • The same integrations get connected again and again, per person
  • Hand work to a colleague and the AI context is lost. They start the conversation from scratch
  • No idea who on the team is actually getting value from AI, or who's stuck

The Runwork Solution

  • Shared skills: one teammate teaches their agent how to do something, and every agent on the team can do it
  • Connect data and 3,200+ integrations once at the workspace level, and everyone's agent has access
  • Share & Resume: hand off an AI conversation to a colleague who picks it up natively in their own agent
  • Adoption & Training: a personal journey for each member plus a team dashboard so you see who's thriving and who needs a nudge
  • Bring any agent (Claude, ChatGPT, Cursor, Codex) and Runwork coordinates them on the same shared context

What You Can Build

Shared Skills

Ops builds a "revenue-summary" skill once. Every teammate's agent can run it, with no rebuilding and no copy-paste.

Faster Onboarding

A new hire connects their agent and it already knows the company: shared skills, data, and integrations from day one.

Conversation Hand-off

Pass a half-finished analysis to a colleague mid-thread. They resume it in their own agent with full context intact.

One Connection, Whole Team

Connect HubSpot once at the workspace. Every agent on the team can query it, with no per-person setup.

Team Adoption

The dashboard flags that someone hasn't built anything yet, and weekly training nudges them toward their next step.

Find the Champion

See who leads each area of AI-native work, so people know exactly who to ask.

A Day in the Life

8:30 AM. One shared brain. A teammate in the Tokyo office finishes a skill that summarizes overnight signups. By the time you start your day, your own agent can run that exact skill. You didn't build it, but you get the benefit. That's the shared layer at work.

10:00 AM. Sales pipeline review. Your sales lead asks their agent, "what's the average close time for enterprise deals this quarter?" It answers from the CRM connected to the workspace: a connection set up once, available to every teammate's agent, no per-person setup.

1:00 PM. Hand-off without re-explaining. A customer escalation lands while you're heads-down. You hand the whole AI conversation to the CS lead. They resume it natively in their own agent, with all the context, and pick up exactly where you left off.

3:00 PM. New hire, up to speed fast. Someone joins this week. They connect their preferred agent and it immediately knows the company: the team's shared skills, data, and integrations are right there. No two-week ramp reading docs nobody updated.

5:00 PM. See where the team stands. You open the team dashboard: who's active, who's building, who's stuck. Adoption & Training already sent each person a nudge toward their next step. You spot one teammate who hasn't created anything yet and pair them with a champion.

Frequently Asked Questions

How is this different from Slack or Microsoft Teams?
Slack and Teams coordinate people. Runwork coordinates your team's AI agents. When one teammate teaches their agent a skill, builds an app, or connects an integration, it becomes available to everyone, and you can hand an entire AI conversation to a colleague who resumes it natively. It's the shared layer that makes a team of individual agents work like one.
Does everyone have to use the same AI agent?
No. That's the point. One person can use Claude, another ChatGPT, another Cursor or Codex. Runwork connects to each over MCP and the CLI and gives them all the same shared context (skills, data, and integrations), so the team is unified even when the tools aren't.
How does a conversation hand-off work?
With Share & Resume, you hand an AI conversation (full transcript, tool calls, and context) to a teammate. They resume it in their own agent on their own machine and continue where you stopped. No re-pasting background, no lost thread. You can also save your own conversation as a personal checkpoint.
How do I know AI is actually catching on across the team?
Adoption & Training scores each member across 4 dimensions (Setup, Usage, Building, and Knowledge) and the team dashboard shows the whole picture: who's thriving, who's stuck, and what to do next. Weekly training nudges each person toward their next best step, so adoption becomes a habit instead of a one-time announcement.

Related Use Cases

Internal Tools Operations Teams Product Teams

Ready to build?

Start a 14-day free trial. No credit card required.

Start Free Trial Explore More Use Cases