A lead comes in
Capture the inquiry, route it to the right place, prepare a reply, and flag the next follow-up.
Connect your tools and build workflows for the jobs you do every day. Use AI where it helps, and ordinary automation where that's the better answer.
Describe the trigger, the information used, the steps, and the output. Then decide what can happen automatically and where a person must review the result.
Read the workflow guide
Capture the inquiry, route it to the right place, prepare a reply, and flag the next follow-up.
Turn an approved brief into draft captions, organize assets, and send the work for review before anything posts.
Collect information from agreed sources and prepare a digest, task list, or exception report.
These are project examples, not claims about completed client work. Your requirements determine the final scope.
We agree on the trigger, the steps, permissions, approval points, and what happens when a tool fails. Third-party subscriptions, maintenance, and ongoing support are scoped separately.
Talk about your projectNo. If a simple rule or integration does the job reliably, that's usually the sensible choice. AI can be useful when the task involves interpreting text, drafting, or sorting information—but it still needs checks.
We'll review the actual apps, available integrations or APIs, and the permissions required. Not every tool can be connected, so that is checked before a scope is agreed.
That depends on the task. We define which actions can run unattended and which require review. Sending messages, publishing content, or changing records gets a deliberate approval decision in the project scope.
This example turns an inquiry into a prepared reply and a follow-up task, with a human review step in the middle.
Local demonstration only. No model is called, no message is sent, and no customer record is created.
You don't need a specification. These five details make it easier to discuss scope, costs, and next steps.
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