All use cases
Startups and SaaSReference scenario
Investor reporting that prepares itself
Every month the agent gathers the numbers (revenue, pipeline, cash), drafts the investor update and sends it to the CEO for approval.
Funded startup
Context
Investors expect a monthly update. The CEO spends a day on it: exporting numbers from five tools, building charts, writing the text.
Before
- A day a month lost on reporting
- Numbers copied by hand from five tools
- Updates sent late
With the agent
- Numbers consolidated automatically
- A draft update with the highlights
- Sent on a fixed date, after approval
The system
Triggers
Revenue
Sales pipeline
Cash
AI agent
- Collects and checks the month's numbers
- Computes key metrics
- Flags changes that need explaining
- Drafts the update
You approve
The CEO reviews
They add qualitative context and approve sending.
Actions
Monthly dashboard
Update sent
Target gains
Typical goals for this kind of system, to be confirmed during the audit.
- instead of a day each month
- 1 h
- instead of a day each month
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