Automatically convert a Microsoft Teams message into a task in a to-do application. A simple AI automation workflow: AI for interpretation, conventional systems for the rest of the process.
- Chats, emails and meetings constantly contain agreements, deadlines and action items. But they do not always become part of a process that can be tracked.
- AI interprets what people write: from unstructured language to meaning, deadline and priority.
- This reduces the manual work required between people, information and systems.
“Could you review the supplier report by Thursday? Please mark it as high priority.”
What is implied here? A task -> review the supplier report, with a deadline -> Thursday and a priority -> high.
Human language is flexible and unstructured. This is where reasoning adds value: it turns the sentence above into a structured task that systems can process.
{
"task": "Review supplier report",
"deadline": "Thursday",
"priority": "high",
"context": "administration"
}
Then, deterministically: validate the schema, check the conditions, write the task and report the status.
Use AI for interpretation while keeping the rest of the process predictable and controllable.
Not a chatbot response, but a completed action: the task appears in a to-do app such as TinyDone, with a priority, context and deadline. The greatest value emerges when AI works not alongside the existing process, but within it.