Small AI workflows that fit how your agency already works.
Each one reads the tools you already use, does one job, follows strict rules and stops for a person to approve. Watch a demo to see the whole run: what goes in, every step in between, and what comes out.
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Client updates
Your Jira, Linear or ClickUp board in. A client-ready update out, with internal notes kept back.
- Collect
- Clean
- Classify
- Draft
- Guardrails
- Review
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Unbilled time
A week of commits, tickets and meetings in. The hours nobody logged out, as entries a developer approves.
- Collect
- Match
- Find gaps
- Suggest
- Guardrails
- Review
- Log
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Release notes
Merged work in. Release notes your client can read out, with every line tied to a change.
- Collect
- Group
- Draft
- Guardrails
- Review
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Client requests
Client emails and chat in. Tidy tickets out, with anything outside the agreed scope flagged.
- Collect
- Extract
- Check scope
- Draft tickets
- Guardrails
- Review
The same rules on every workflow
Each workflow is built around your agency's tools and habits. These rules don't change.
- Every output traced to a sourceEach factual line, entry or ticket links to the commit, message or ticket it came from. Anything without a source is blocked.
- Only allowed actionsA workflow can only do the few things it's set up for, like reading a board and writing a draft. Anything else is refused and logged.
- Internal data stays inInternal comments, private calendar events and personal details are kept out of anything that leaves your agency.
- A person approves before anything leavesSomeone who understands the work reads the output and approves it. Nothing reaches a client, a ticket or a timesheet before that.
The agencies, clients and data are made up, and each demo is a scripted replay that runs the same way every time. They show how the workflows are meant to work. The workflows haven't been built yet.
Which of these would save your agency the most time?
If you found this through a post, reply there. Tell me how your team handles it today.