An agent for business tasks
Create invoices and ask about your business with an AI agent.
Speak or type in natural language. The agent prepares invoices for review and answers questions about invoicing, expenses, purchases, sales, suppliers and stock using authorised data.
Action: prepare an invoice
It interprets your request, shows a draft and waits for confirmation.
- Natural language requestCustomer, description, quantity, price and taxes.
- Data ready to reviewCheck the interpretation before issuing.
- Clarification when neededIf the customer, tax or description is missing, it should ask for clarification.
- Human confirmationInvoices are reviewed before they are issued.
Invoice Clínica Montserrat €450 plus VAT for monthly consulting.
Ready to review and issue
When context is missing
It does not guess essential details.
Questions: answers in context
Ask about real figures without setting up filters.
Control and security
Every response respects the user, company and permissions.
Authorised user
The agent works within the user’s access permissions.
Explicit company context
Queries relate to a specific company or business activity and keep databases separate.
Confirmations
Final actions are reviewed before they are carried out.
Traceability
The invoice retains its numbering, records and status within the product workflow.
The agent does not replace the tax judgement of the user or their adviser, and should not invent figures beyond the available data.
Different capabilities
The agent, OCR and analytics serve different purposes.
Interprets requests, prepares invoices and queries data in natural language.
Reads photos or PDFs of incoming documents and extracts fields for review.
Shows dashboards, metrics and structured comparisons.
Frequently asked questions
What it does and where you stay in control.
Does it issue invoices without confirmation?
No. It prepares a draft for review before issuing.
What can it look up?
Invoicing, expenses, purchases, sales, suppliers, stock and periods within the authorised data.
What happens if information is missing?
It should ask for the missing information or clarify ambiguity, rather than guessing essential details.
Can it mix data from different companies?
No. Each query uses the company context and its separate data.