Use the skills your teammates saved
One person gets good at AI, nobody else does
One teammate teaches their AI how to do something. Their colleagues get it too, in whichever AI tool each of them uses.
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The Challenge
- One person works out a good way to do something with AI, and it stays in their chat history
- You can tell a colleague about a good prompt in a meeting. You cannot put it inside their AI
- The same integration gets connected again by every person who needs it
- A new teammate starts from nothing, because what the team learned was never written anywhere their AI can read
- The team is only as good at AI as each person is on their own
The Runwork Solution
- Save a skill once at the workspace, and your teammates' AI tools can run it without anyone rebuilding it
- Connect your data and 3,300+ integrations once for the workspace, so nobody sets up the same connection twice
- Hand a whole AI conversation to a colleague, who continues it in the AI tool they already use
- Everyone keeps the AI tool they prefer, and Runwork gives all of them the same shared context (60+ AI tools supported)
- A team dashboard shows who is building and who has not started, so you know where to help
What your team gets
A skill someone else saved
Your ops lead saves a skill that pulls the weekly revenue summary. Your AI runs it the same day, and you never have to see the prompt behind it.
One connection for the team
Somebody connects your CRM once at the workspace. After that, your teammates' AI tools can query it with nothing to set up per person.
A conversation you can hand over
Pass a half-finished analysis to a colleague. They continue it in their own AI tool, with the thread and the context still attached.
A new hire who starts informed
They connect the AI tool they prefer on their first day, and it already knows the team's saved skills, data and connected tools.
The same facts for everybody
Two people ask their AI the same question about your business and both answer from the same records, so nobody is working from their own stale copy.
A view of who is stuck
The dashboard shows who has built something and who has not started, so you can pair them up instead of guessing.
A Day in the Life
8:30 AM. A skill you did not build. A teammate in another office finishes a skill that summarizes overnight signups. By the time you start your day, your own AI can run it. You did not build it and you get it anyway.
10:00 AM. A question the CRM answers. Your sales lead asks their AI what the average close time is for enterprise deals this quarter. It answers from the CRM connected to the workspace. One person connected it, and now the team's AI tools can read it.
1:00 PM. A handover with the context attached. A customer escalation arrives while you are busy with something else. You hand the whole AI conversation to your CS lead. They continue it in their own AI tool and pick up where you stopped, without you writing a summary first.
3:00 PM. A new hire who already knows things. Someone joined this week. They connect the AI tool they prefer and it knows the team's saved skills, the connected data and how your company does things. They ask it a real question on their first morning.
5:00 PM. A look at who is stuck. You open the team dashboard: who is active, who is building, who has not started. You find one person who has not saved anything yet and put them next to someone who has.
6:00 PM. Today's discovery becomes a team skill. Your AI reflected on the escalation walkthrough minutes after you finished it, reading the conversation on your machine, where it stayed. Now you open what it left you: that walkthrough is the third one this month. You save it as a team skill, and every teammate's AI can use it tomorrow.
Frequently Asked Questions
How do I share AI skills with my team?
Does everyone have to use the same AI tool?
What happens when someone new joins the team?
How is this different from Slack or Microsoft Teams?
How do I know whether it is actually reaching people?
Related Use Cases
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