Introducing Multi-Player Ai

Are your Ai tools stuck in single player mode?

#ChatGPT and #MicrosoftCopilot are powerful - but their single user design limits impact.

This is because the toughest, highest-stakes challenges in a company aren’t solved by one person working alone.

They’re solved by teams — people with different expertise, different perspectives, and different priorities coming together to wrestle through the mess.

We need the power of Ai in collaborative problem-solving and alignment now more than ever.

That’s why tools like #Notion, #Miro, and #Mural are experimenting with AI features in shared workspaces.

But just shoehorning Ai into existing tools isn’t going to get us there.
We need a new kind of Ai copilot - one purpose-built for multiplayer collaboration.

We call this approach “#TeamGPT.”

It works like the LLM tools you already know.
You provide a prompt. It provides suggestions.

But with TeamGPT, the prompt and suggestions are shared with all key stakeholders.

Working together (and with the LLM), they move toward shared answers by clearly mapping out the options, arguments, tradeoffs, and priorities — asynchronously or in real time.

This approach doesn’t just generate answers.
It creates:
- Shared understanding
- Structured collaboration across silos
- Alignment without the meeting overhead

The ROI isn’t just measured in better ideas and risk reduction.
You feel it the number of meetings you clear off your schedule - and the speed at which your org can move from roadblock >> plan >> action.

We built WASHI to be the first TeamGPT.

It’s already helping teams cut time-to-decision IN HALF.
And we’re just getting started.

Want to see how TeamGPT can work for your team?
Let’s book a demo.

It’s time to start using Ai in multi-player mode.