Knowledge · core

Keeping Track of Deadlines: Appointments That Notify Themselves

How to keep deadlines reliably under control: one central place, deadlines with their source – and AI that detects deadlines from documents and submits them for approval.

You keep track of deadlines when three conditions are met: there is a central place for all deadlines and follow-ups, every deadline knows its occasion and its source – and new deadlines reliably reach the system instead of slumbering in documents and inboxes. Modern software increasingly handles the last point itself: AI detects deadlines in documents and submits them to you for approval.

Why deadlines are so dangerous

A forgotten task usually only costs time – a missed deadline often costs money or rights: the notice period of the contract that runs and runs; the early payment discount that expires; the appointment by which a reply was due. The tricky part: deadlines arise scattered. They are embedded in contracts, official notices, emails and phone calls – and anyone who doesn't capture them at the moment they arise relies on memory. With ten deadlines that may go well, with fifty it becomes a matter of luck.

One place for everything time-bound

The first step is mundane and effective: a central place. In webRichtung core, the Deadlines area within the workflow collects all important appointments and follow-ups – alongside tasks, notes and the inbox, not in a separate tool. This ends the spreading across wall calendars, Outlook reminders and Excel lists, where gaps inevitably arise.

The deadline that knows its source

A calendar entry "Cancel contract XY!" reminds you – but it explains nothing. Which contract, which conditions, where is the document? With the reminder, the search begins. That's why: a good deadline knows its source. In core this is built in – a deadline knows, for example, which document it stems from, and you open the associated document directly from the deadline. "Vaguely remembered" turns into "in the picture with one click."

Deadlines that notify themselves: AI detection with approval

The weakest point of any deadline management is capturing them – and this is exactly where AI helps. On the webRichtung platform, deadline detection can automatically check processed documents for clearly evidenced deadlines: when you upload a contract or official notice, a detected deadline signal is prepared with description and source.

The principle behind it is important: approval instead of flying blind. If the system isn't sure enough – for example because the exact date isn't clearly evidenced – it places the case with the document and a justification in your inbox, status "approval pending." You decide what becomes a binding deadline. This way the deadline list grows with things no one else would have captured, without false entries arising.

A simple deadline routine

1. Capture immediately: Every deadline goes into the system the moment it arises – right out of a conversation, this also works via a chat instruction to the assistant.
2. Link the source: Attach the document or matter to the deadline.
3. Plan lead time: The follow-up belongs before the actual deadline – cancelling needs time to consider.
4. Review weekly: What is due in the next 30 days?

How to organize follow-ups so that they really work is explored in depth in the article Follow-up System; the interplay with tasks is shown in Task Management in the Team.

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