Sales
Daily sales report
Find the report, analyze numbers, explain changes and deliver a short summary.
- 7:00 summary
- Drive or SharePoint source
- Traceable status and result
AI automations
Morning work is already prepared.
2342.ai should execute recurring knowledge work with company data: find files, read reports, summarize content, deliver results and keep progress visible.
The concrete demo use case
Every morning at 7:00, the sales report is ready.
The automation searches SharePoint or Google Drive for yesterday's sales report, analyzes the numbers, creates a summary and delivers it to the team. While it runs, status remains visible in the product and on mobile surfaces.
workspace.open()
mode.private_or_business()
knowledge.connect()
automation.run()
budget.meter_usage()
Management
Weekly management summary
Condense new documents, KPIs, customer feedback or internal updates into a management note.
- Weekly schedule
- Multiple sources
- Clear result file
Operations
Check and prepare documents
Detect new Drive files, review content, prepare customer material or summarize policies.
- Check new files
- Meeting prep
- Policy summaries
Automation ideas
Recurring knowledge work should not start from scratch every morning.
Define source and output
Which files should be found, what result should be produced, and who receives it?
Set schedule and rights
The automation runs with clear identity, role logic and traceable execution.
Review results
Runs, status, errors and produced content remain visible.
Is this just an agent?
The label does not matter. What matters: recurring work runs with approved data, clear rights and visible output.
Can an automation use company data?
Yes, when the relevant knowledge source and role logic are approved.
Why is this a hero use case?
Because the value is instantly clear: a concrete piece of work is done in the morning, not just an abstract workflow built.