Asked a question in plain language, the assistant gathers the billed hours, receipts, expenses and profit margin for each project. On the next request, it turns the result into an Excel file and adds the hours from the timesheets.
Examples from our own financial system: the assistant works with invoices, bank statements, timesheets and accounting ledgers, answers questions, builds reports and maintains dashboards, straight from the conversation. Client names and amounts in the screenshots have been blurred.
Asked a question in plain language, the assistant gathers the billed hours, receipts, expenses and profit margin for each project. On the next request, it turns the result into an Excel file and adds the hours from the timesheets.
The Rill dashboards are defined and updated by the assistant. Say what is missing, and the assistant changes the dashboard and explains what it changed.
A client was missing from the profitability dashboard. The assistant added it and summarised the situation across all clients.
The Rill dashboard, with revenue, costs, profit and margin by month, broken down by client and year.
A client on fixed-price contracts didn't fit the model used for the others. The assistant analysed the existing data, proposed a step-by-step strategy and asked for a decision before building anything.
The assistant always knows what data it is working with: here it lists the 12 kinds of input data and the 22 processing steps built on top of them.
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