AI workflows for client work
Useful AI work,
correctly addressed.
Peon is built for repeated work across several clients using many of the same apps. Start with an outcome you already deliver, then remove the account-selection friction around it.
Where Peon fits
Start with work
you already repeat.
Each workflow begins with a client name, uses only that client's assigned accounts and access, and returns a result ready for your review or continuation.
Prepare the client report from the right source accounts.
Name the client and let your AI collect the relevant activity from their assigned accounts before it drafts the weekly or monthly report.
“Prepare Acme's weekly client report from email, Analytics, Notion, and the project workspace.”
Walk into the client call already caught up.
Name the client and let your AI gather the recent conversations, meetings, files, analytics, and project activity assigned to them.
“Prepare me for tomorrow's Acme call using recent email, calendar, Notion, and Analytics activity.”
See what changed without opening every client app.
Ask what changed for one client and let your AI collect a compact status from the project accounts assigned to them.
“What changed for Acme this week across Linear, Slack, Drive, and GitHub?”
Move the work forward in the correct client workspace.
Name the client before asking your AI to create, update, or research work in their assigned project and development accounts.
“For Acme, update the launch task in Notion and check the related GitHub issue.”
The shared pattern
Different outcomes.
The same client layer.
Reporting, preparation, status work, and task execution all become easier when the AI does not have to rediscover which account belongs to whom.
Name the client
Use assigned accounts
Apply access and boundaries
Return a clear result
Start free
Start with one client. Let Peon handle the accounts.
Tell us which outcome you repeat, which client accounts it touches, and where account selection currently breaks down.